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Santiago Ontañón
Santi Ontañón Villar – Santi Ontañón – Santiago Ontañón Villar
Person information
- affiliation: Drexel University
- affiliation (former): Georgia Institute of Technology, Atlanta, USA
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2020 – today
- 2024
- [c163]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR 2024 - [c162]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR 2024 - [c161]Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie:
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. NAACL (Short Papers) 2024: 737-744 - 2023
- [c160]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Distribution Fairness in Multiplayer AI Using Shapley Constraints. AIIDE 2023: 233-243 - [c159]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Beyond UCT: MAB Exploration Improvements for Monte Carlo Tree Search. CoG 2023: 1-8 - [c158]Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai:
CoLT5: Faster Long-Range Transformers with Conditional Computation. EMNLP 2023: 5085-5100 - [c157]David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo:
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. EMNLP (Findings) 2023: 9380-9386 - [c156]Robert C. Gray, Jennifer Villareale, Thomas Boyd Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu:
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. IUI 2023: 322-336 - [i38]Robert C. Gray, Jennifer Villareale, Thomas B. Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu:
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. CoRR abs/2302.09298 (2023) - [i37]Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai:
CoLT5: Faster Long-Range Transformers with Conditional Computation. CoRR abs/2303.09752 (2023) - [i36]Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontañón, Ambarish Jash, Judith Yue Li:
Multi-Task End-to-End Training Improves Conversational Recommendation. CoRR abs/2305.06218 (2023) - [i35]David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo:
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. CoRR abs/2305.11129 (2023) - [i34]Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie:
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR abs/2308.14903 (2023) - [i33]Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR abs/2310.00036 (2023) - [i32]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR abs/2310.04418 (2023) - 2022
- [j38]Avelino J. Gonzalez, Josiah Wong, Emily M. Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S. Wu, Santiago Ontañón, Yi-Ching Lee, Flaura K. Winston:
Detection of driver health condition by monitoring driving behavior through machine learning from observation. Expert Syst. Appl. 199: 117167 (2022) - [j37]Pavan Kantharaju, Katelyn Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Modeling Player Knowledge in a Parallel Programming Educational Game. IEEE Trans. Games 14(1): 64-75 (2022) - [j36]Zuozhi Yang, Santiago Ontañón:
An Experimental Survey on Methods for Integrating Scripts Into Adversarial Search for RTS Games. IEEE Trans. Games 14(2): 117-125 (2022) - [c155]Santiago Ontañón, Joshua Ainslie, Zachary Fisher, Vaclav Cvicek:
Making Transformers Solve Compositional Tasks. ACL (1) 2022: 3591-3607 - [c154]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. FLAIRS 2022 - [c153]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. NAACL-HLT (Findings) 2022: 724-736 - [c152]James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón:
FNet: Mixing Tokens with Fourier Transforms. NAACL-HLT 2022: 4296-4313 - [i31]Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher:
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models. CoRR abs/2203.15099 (2022) - [i30]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - 2021
- [j35]Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara:
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9: 117981-117992 (2021) - [j34]Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo:
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 116:1-116:21 (2021) - [c151]Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón:
Improving Compositional Generalization in Classification Tasks via Structure Annotations. ACL/IJCNLP (2) 2021: 637-645 - [c150]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Multiplayer Modeling via Multi-Armed Bandits. CoG 2021: 1-8 - [c149]Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoG 2021: 1-8 - [c148]Zuozhi Yang, Santiago Ontañón:
Contextual Combinatorial Bandits in Real-Time Strategy Games. CoG 2021: 1-9 - [c147]David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. FLAIRS 2021 - [c146]Santiago Ontañón, Jichen Zhu:
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. IUI Companion 2021: 64-66 - [c145]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD 2021: 3569-3575 - [i29]Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo:
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. CoRR abs/2101.10020 (2021) - [i28]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoRR abs/2102.05263 (2021) - [i27]Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón:
Player Modeling via Multi-Armed Bandits. CoRR abs/2102.05264 (2021) - [i26]Jichen Zhu, Santiago Ontañón:
Player-Centered AI for Automatic Game Personalization: Open Problems. CoRR abs/2102.07548 (2021) - [i25]Santiago Ontañón, Jichen Zhu:
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. CoRR abs/2103.01771 (2021) - [i24]James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón:
FNet: Mixing Tokens with Fourier Transforms. CoRR abs/2105.03824 (2021) - [i23]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR abs/2105.09930 (2021) - [i22]Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoRR abs/2105.13807 (2021) - [i21]Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón:
Improving Compositional Generalization in Classification Tasks via Structure Annotations. CoRR abs/2106.10434 (2021) - [i20]Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher:
Making Transformers Solve Compositional Tasks. CoRR abs/2108.04378 (2021) - [i19]Luana Ruiz, Joshua Ainslie, Santiago Ontañón:
Iterative Decoding for Compositional Generalization in Transformers. CoRR abs/2110.04169 (2021) - [i18]David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data. CoRR abs/2111.06774 (2021) - [i17]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. CoRR abs/2112.07916 (2021) - 2020
- [j33]Santiago Ontañón:
An overview of distance and similarity functions for structured data. Artif. Intell. Rev. 53(7): 5309-5351 (2020) - [c144]Zuozhi Yang, Santiago Ontañón:
Bandit-Based Policy Optimization for Monte Carlo Tree Search in RTS Games. AIIDE Workshops 2020 - [c143]Zuozhi Yang, Santiago Ontañón:
Are Strong Policies Also Good Playout Policies? Playout Policy Optimization for RTS Games. AIIDE 2020: 144-150 - [c142]Pavan Kantharaju, Santiago Ontañón:
Discovering Meaningful Labelings for RTS Game Replays via Replay Embeddings. CoG 2020: 160-167 - [c141]Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoG 2020: 312-319 - [c140]Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang:
ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) 2020: 268-284 - [c139]Jichen Zhu, Santiago Ontañón:
Player-Centered AI for Automatic Game Personalization: Open Problems. FDG 2020: 6:1-6:8 - [c138]Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón:
Player Modeling via Multi-Armed Bandits. FDG 2020: 7:1-7:8 - [c137]David Grethlein, Santiago Ontañón:
Spatially Aligned Clustering of Driving Simulator Data. FLAIRS 2020: 45-50 - [c136]Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. NeurIPS 2020 - [i16]Santiago Ontañón:
An Overview of Distance and Similarity Functions for Structured Data. CoRR abs/2002.07420 (2020) - [i15]Joshua Ainslie, Santiago Ontañón, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai:
ETC: Encoding Long and Structured Data in Transformers. CoRR abs/2004.08483 (2020) - [i14]Jichen Zhu, Katelyn Alderfer, Brian K. Smith, Bruce W. Char, Santiago Ontañón:
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach. CoRR abs/2005.04789 (2020) - [i13]Shengyi Huang, Santiago Ontañón:
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. CoRR abs/2006.14171 (2020) - [i12]Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020) - [i11]Shengyi Huang, Santiago Ontañón:
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games. CoRR abs/2010.03956 (2020)
2010 – 2019
- 2019
- [c135]Zuozhi Yang, Santiago Ontañón:
Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. KEG@AAAI 2019: 2-8 - [c134]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
Extracting CCGs for Plan Recognition in RTS Games. KEG@AAAI 2019: 9-16 - [c133]Zuozhi Yang, Santiago Ontañón:
Guiding Monte Carlo Tree Search by Scripts in Real-Time Strategy Games. AIIDE 2019: 100-107 - [c132]Rook Liu, Claire Christopher, Chris Martens, Santiago Ontañón, Piotr Mirowski, Kory W. Mathewson, Thomas Winters, Shaun Farrugia:
Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AIIDE 2019: 234-238 - [c131]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search. CoG 2019: 1-8 - [c130]Jichen Zhu, Santiago Ontañón:
Experience Management in Multi-player Games. CoG 2019: 1-6 - [c129]Jichen Zhu, Katelyn Alderfer, Anushay Furqan, Jessica Nebolsky, Bruce W. Char, Brian K. Smith, Jennifer Villareale, Santiago Ontañón:
Programming in game space: how to represent parallel programming concepts in an educational game. FDG 2019: 4:1-4:10 - [c128]Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu:
Modeling Behavior Patterns with an Unfamiliar Voice User Interface. UMAP 2019: 196-200 - [r2]David Churchill, Mike Preuss, Florian Richoux, Gabriel Synnaeve, Alberto Uriarte, Santiago Ontañón, Michal Certický:
StarCraft Bots and Competitions. Encyclopedia of Computer Graphics and Games 2019 - [r1]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
RTS AI Problems and Techniques. Encyclopedia of Computer Graphics and Games 2019 - [i10]Jichen Zhu, Santiago Ontañón:
Experience Management in Multi-player Games. CoRR abs/1907.02349 (2019) - [i9]Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. CoRR abs/1908.05632 (2019) - [i8]Shengyi Huang, Santiago Ontañón:
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. CoRR abs/1910.12134 (2019) - 2018
- [j32]Santiago Ontañón, Nicolas A. Barriga, Cleyton R. Silva, Rubens O. Moraes, Levi H. S. Lelis:
The First microRTS Artificial Intelligence Competition. AI Mag. 39(1): 75-83 (2018) - [j31]Brian Magerko, Julio César Bahamón, Michael Buro, Rossana Damiano, Jo Mazeika, Santiago Ontañón, Justus Robertson, James Ryan, Kristin Siu:
The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 39(2): 75-78 (2018) - [j30]Santiago Ontañón, Ali Shokoufandeh:
Refinement operators for directed labeled graphs with applications to instance-based learning. Knowl. Based Syst. 161: 425-441 (2018) - [j29]Alberto Uriarte, Santiago Ontañón:
Combat Models for RTS Games. IEEE Trans. Games 10(1): 29-41 (2018) - [c127]Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. AIIDE 2018: 173-179 - [c126]Brandon Packard, Santiago Ontañón:
A User Study on Learning from Human Demonstration. AIIDE 2018: 208-214 - [c125]Santiago Ontañón:
SHRDLU: A Game Prototype Inspired by Winograd's Natural Language Understanding Work. AIIDE 2018: 268-270 - [c124]Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
μCCG, a CCG-based Game-Playing Agent for μRTS. CIG 2018: 1-8 - [c123]Zuozhi Yang, Santiago Ontañón:
Learning Map-Independent Evaluation Functions for Real-Time Strategy Games. CIG 2018: 1-7 - [c122]Christopher C. Yang, Ou Stella Liang, Santiago Ontañón, Weimao Ke, Helen Loeb, Charlie Klauer:
Predictive Modeling with Vehicle Sensor Data and IoT for Injury Prevention. CIC 2018: 293-298 - [c121]Brandon Packard, Santiago Ontañón:
Learning Behavior from Limited Demonstrations in the Context of Games. FLAIRS 2018: 86-91 - [c120]Josiah Wong, Lauren Hastings, Kevin Negy, Avelino J. Gonzalez, Santiago Ontañón, Yi-Ching Lee:
Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans. FLAIRS 2018: 152-157 - [c119]Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis:
Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. 2018: 210-216 - [c118]Katelyn Bright Alderfer, Brian K. Smith, Santiago Ontañón, Bruce W. Char, Jessica Nebolsky, Jichen Zhu, Anushay Furqan, Evan Freed, Justin H. Patterson, Josep Valls-Vargas:
Lessons Learned From an Interactive Educational Computer Game About Concurrent Programming: (Abstract Only). SIGCSE 2018: 1077 - 2017
- [j28]Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav:
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38(4): 99-106 (2017) - [j27]Antonio A. Sánchez-Ruiz, Santiago Ontañón:
Structural plan similarity based on refinements in the space of partial plans. Comput. Intell. 33(4): 926-947 (2017) - [j26]Santiago Ontañón:
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. J. Artif. Intell. Res. 58: 665-702 (2017) - [j25]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Error Analysis in an Automated Narrative Information Extraction Pipeline. IEEE Trans. Comput. Intell. AI Games 9(4): 342-353 (2017) - [j24]Sam Snodgrass, Santiago Ontañón:
Learning to Generate Video Game Maps Using Markov Models. IEEE Trans. Comput. Intell. AI Games 9(4): 410-422 (2017) - [c117]Santiago Ontañón, Josep Valls-Vargas, Jichen Zhu:
Bridging the Gap Between Computational Narrative and Natural Language Processing. AAAI Workshops 2017 - [c116]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Towards Automatically Extracting Story Graphs from Natural Language Stories. AAAI Workshops 2017 - [c115]Santiago Ontañón, Yi-Ching Lee, Sam Snodgrass, Flaura K. Winston, Avelino J. Gonzalez:
Learning to Predict Driver Behavior from Observation. AAAI Spring Symposia 2017 - [c114]Brandon Packard, Santiago Ontañón:
Policies for Active Learning from Demonstration. AAAI Spring Symposia 2017 - [c113]Sam Snodgrass, Santiago Ontañón:
Leveraging Multi-Layer Level Representations for Puzzle-Platformer Level Generation. AIIDE Workshops 2017 - [c112]Sam Snodgrass, Adam Summerville, Santiago Ontañón:
Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. AIIDE 2017: 122-128 - [c111]Alberto Uriarte, Santiago Ontañón:
Single Believe State Generation for Handling Partial Observability with MCTS in StarCraft. AIIDE Workshops 2017 - [c110]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Towards End-to-End Natural Language Story Generation Systems. AIIDE Workshops 2017 - [c109]Santiago Ontañón, Jichen Zhu, Brian K. Smith, Bruce W. Char, Evan Freed, Anushay Furqan, Michael Howard, Anna Nguyen, Justin H. Patterson, Josep Valls-Vargas:
Designing Visual Metaphors for an Educational Game for Parallel Programming. CHI Extended Abstracts 2017: 2818-2824 - [c108]Sam Snodgrass, Santiago Ontañón:
Procedural level generation using multi-layer level representations with MdMCs. CIG 2017: 280-287 - [c107]Alberto Uriarte, Santiago Ontañón:
Single believe state generation for partially observable real-time strategy games. CIG 2017: 296-303 - [c106]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Graph grammar-based controllable generation of puzzles for a learning game about parallel programming. FDG 2017: 7:1-7:10 - [c105]Adam Summerville, Julian R. H. Mariño, Sam Snodgrass, Santiago Ontañón, Levi H. S. Lelis:
Understanding mario: an evaluation of design metrics for platformers. FDG 2017: 8:1-8:10 - [c104]Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
From computational narrative analysis to generation: a preliminary review. FDG 2017: 55:1-55:4 - [c103]Brandon Packard, Santiago Ontañón:
Feature Selection for Learning from Demonstration in Minecraft. FLAIRS 2017: 489-494 - [c102]Sam Snodgrass, Santiago Ontañón:
Player Movement Models for Video Game Level Generation. IJCAI 2017: 757-763 - [i7]Santiago Ontañón:
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. CoRR abs/1710.04805 (2017) - 2016
- [j23]Camille Barot, Michael Buro, Michael Cook, Mirjam Palosaari Eladhari, Boyang Li, Antonios Liapis, Magnus Johansson, Josh McCoy, Santiago Ontañón, Jonathan P. Rowe, Emmett Tomai, Harko Verhagen, Alexander Zook:
The AIIDE 2015 Workshop Program. AI Mag. 37(2): 91-94 (2016) - [j22]Antonio A. Sánchez-Ruiz, Santiago Ontañón, Pedro A. González-Calero, Enric Plaza:
Measuring similarity of individuals in description logics over the refinement space of conjunctive queries. J. Intell. Inf. Syst. 47(3): 447-467 (2016) - [j21]Gregory W. Schwartz, Ali Shokoufandeh, Santiago Ontañón, Uri Hershberg:
Using a novel clumpiness measure to unite data with metadata: Finding common sequence patterns in immune receptor germline V genes. Pattern Recognit. Lett. 74: 24-29 (2016) - [j20]Cristina Tîrnauca, José L. Montaña, Santiago Ontañón, Avelino J. Gonzalez, Luis M. Pardo:
Behavioral Modeling Based on Probabilistic Finite Automata: An Empirical Study. Sensors 16(7): 958 (2016) - [j19]