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ORCIDJanarthanan Rajendran
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2020 – today
- 2024
[c17]Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. ICLR 2024- [c16]Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar:
Mastering Memory Tasks with World Models. ICLR 2024 - [i24]Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar:
Mastering Memory Tasks with World Models. CoRR abs/2403.04253 (2024) - [i23]Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
:
Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR abs/2404.14620 (2024) - [i22]Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. CoRR abs/2405.01684 (2024) - [i21]Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024) - 2023
- [c15]Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar:
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. CoLLAs 2023: 21-42 - [c14]Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar:
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoLLAs 2023: 376-398 - [c13]Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar:
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoLLAs 2023: 861-877 - [c12]Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran:
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. UAI 2023: 2529-2540 - [i20]Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar:
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR abs/2302.02792 (2023) - [i19]Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar:
Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR abs/2303.08690 (2023) - [i18]Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran:
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR abs/2303.09032 (2023) - [i17]Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar:
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoRR abs/2308.10284 (2023) - [i16]Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar:
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games. CoRR abs/2311.07687 (2023) - 2022
- [c11]Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen:
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML 2022: 22536-22561 - [i15]Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen:
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR abs/2204.11464 (2022) - [i14]Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar:
An Introduction to Lifelong Supervised Learning. CoRR abs/2207.04354 (2022) - [i13]Gabriele Prato, Yale Song, Janarthanan Rajendran, R. Devon Hjelm, Neel Joshi, Sarath Chandar:
PatchBlender: A Motion Prior for Video Transformers. CoRR abs/2211.14449 (2022) - 2021
- [b1]Janarthanan Rajendran:
On End-to-End Learning of Neural Goal-Oriented Dialog Systems. University of Michigan, USA, 2021 - [j2]Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
Understanding the Impact of COVID-19 on Online Mental Health Forums. ACM Trans. Manag. Inf. Syst. 12(4): 31:1-31:28 (2021) - [c10]Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML 2021: 1082-1091 - [i12]Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR abs/2102.13195 (2021) - [i11]Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh:
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks. CoRR abs/2110.15724 (2021) - 2020
- [c9]Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? AAAI 2020: 5454-5461 - [c8]Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
Quantifying the Effects of COVID-19 on Mental Health Support Forums. NLP4COVID@EMNLP 2020 - [c7]Janarthanan Rajendran, Alexander Irpan, Eric Jang:
Meta-Learning Requires Meta-Augmentation. NeurIPS 2020 - [i10]Janarthanan Rajendran, Alex Irpan, Eric Jang:
Meta-Learning Requires Meta-Augmentation. CoRR abs/2007.05549 (2020) - [i9]Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
Quantifying the Effects of COVID-19 on Mental Health Support Forums. CoRR abs/2009.04008 (2020)
2010 – 2019
- 2019
- [j1]Janarthanan Rajendran, Jatin Ganhotra, Lazaros C. Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. Trans. Assoc. Comput. Linguistics 7: 375-386 (2019) - [c6]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. NeurIPS 2019: 9306-9317 - [c5]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos:
NE-Table: A Neural key-value table for Named Entities. RANLP 2019: 980-993 - [i8]Janarthanan Rajendran, Jatin Ganhotra, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. CoRR abs/1907.07638 (2019) - [i7]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. CoRR abs/1909.04607 (2019) - [i6]Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? CoRR abs/1912.07045 (2019) - 2018
- [c4]Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. EMNLP 2018: 3834-3843 - [i5]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh:
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR abs/1804.09540 (2018) - [i4]Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. CoRR abs/1808.09996 (2018) - 2017
- [c3]Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran:
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. ICLR (Poster) 2017 - 2016
- [c2]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING 2016: 109-118 - [c1]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL 2016: 171-181 - [i3]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR abs/1606.04754 (2016) - 2015
- [i2]Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra:
ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR abs/1510.02879 (2015) - [i1]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR abs/1510.03519 (2015)
Coauthor Index
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