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ORCIDDongge Han
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2020 – today
- 2025
[c6]William Lamb, Dongge Han, Ondrej Klejch, Beatrice Alex, Peter Bell:
Synthesising a Corpus of Gaelic Traditional Narrative with Cross-Lingual Text Expansion. COLING Workshops 2025: 12-26- [c5]Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey:
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. COLING 2025: 1465-1474 - [i10]Dongge Han, Menglin Xia, Daniel Madrigal Díaz, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian del Carmen Hipolito Garcia, Jin Xu, Victor Rühle, Saravan Rajmohan:
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. CoRR abs/2506.08669 (2025) - [i9]Weixuan Wang, Dongge Han, Daniel Madrigal Díaz, Jin Xu, Victor Rühle, Saravan Rajmohan:
OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows. CoRR abs/2508.09124 (2025) - [i8]Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan:
ACON: Optimizing Context Compression for Long-horizon LLM Agents. CoRR abs/2510.00615 (2025) - [i7]Dongge Han, Camille Couturier, Daniel Madrigal Díaz, Xuchao Zhang, Victor Rühle, Saravan Rajmohan:
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation. CoRR abs/2510.04851 (2025) - [i6]Samuel Kessler, Menglin Xia, Daniel Madrigal Díaz, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Rühle, Jordan T. Ash:
Towards Active Synthetic Data Generation for Finetuning Language Models. CoRR abs/2512.00884 (2025) - 2024
- [i5]Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey:
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. CoRR abs/2404.14285 (2024) - 2023
- [j2]Dongge Han
, Michael J. Wooldridge, Alex Rogers, Olga Ohrimenko, Sebastian Tschiatschek:
Replication Robust Payoff Allocation in Submodular Cooperative Games. IEEE Trans. Artif. Intell. 4(5): 1114-1128 (2023) - 2022
- [c4]Dongge Han, Chris Xiaoxuan Lu, Tomasz P. Michalak, Michael J. Wooldridge:
Multiagent Model-based Credit Assignment for Continuous Control. AAMAS 2022: 571-579 - [c3]Dongge Han, Sebastian Tschiatschek:
Option Transfer and SMDP Abstraction with Successor Features. IJCAI 2022: 3036-3042 - 2021
- [j1]Dongge Han, Paul Harrenstein, Steven Nugent, Jonathan Philpott, Michael J. Wooldridge:
Behavioural strategies in weighted Boolean games. Inf. Comput. 276: 104556 (2021) - [i4]Dongge Han, Michael J. Wooldridge, Sebastian Tschiatschek:
MDP Abstraction with Successor Features. CoRR abs/2110.09196 (2021) - [i3]Dongge Han, Chris Xiaoxuan Lu, Tomasz P. Michalak, Michael J. Wooldridge:
Multiagent Model-based Credit Assignment for Continuous Control. CoRR abs/2112.13937 (2021) - 2020
- [i2]Dongge Han, Shruti Tople, Alex Rogers, Michael J. Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek:
Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces. CoRR abs/2006.14583 (2020)
2010 – 2019
- 2019
- [c2]Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers:
Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination. AAMAS 2019: 2006-2008 - [c1]Dongge Han, Wendelin Böhmer, Michael J. Wooldridge, Alex Rogers:
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. PRICAI (2) 2019: 80-92 - [i1]Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers:
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. CoRR abs/1910.09508 (2019)
Coauthor Index
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