Bei Peng
University of Oxford
H-index: 16
Europe-United Kingdom
Top articles of Bei Peng
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning | arXiv preprint arXiv:2404.16807 | Tianhui Zhang Bei Peng Danushka Bollegala | 2024/4/25 |
Deep Reinforcement Learning for Continuous Control of Material Thickness | Oliver Dippel Alexei Lisitsa Bei Peng | 2023/11/8 | |
Learning to Predict Concept Ordering for Common Sense Generation | arXiv preprint arXiv:2309.06363 | Tianhui Zhang Danushka Bollegala Bei Peng | 2023/9/12 |
Curriculum Learning for Relative Overgeneralization | arXiv preprint arXiv:2212.02733 | Lin Shi Bei Peng | 2022/12/6 |
Dependable learning-enabled multiagent systems | AI Communications | Xiaowei Huang Bei Peng Xingyu Zhao | 2022/1/1 |
Special issue on adaptive and learning agents 2018 | The Knowledge Engineering Review | Patrick Mannion Anna Harutyunyan Bei Peng Kaushik Subramanian | 2021/4/28 |
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning | Tarun Gupta Anuj Mahajan Bei Peng Wendelin Böhmer Shimon Whiteson | 2021/7/1 | |
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning | Shariq Iqbal Christian A Schroeder De Witt Bei Peng Wendelin Böhmer Shimon Whiteson | 2021/7/1 | |
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients | Adaptive and Learning Agents Workshop (ALA) at AAMAS 2021 | Bozhidar Vasilev Tarun Gupta Bei Peng Shimon Whiteson | 2021/4/27 |
FACMAC: Factored Multi-Agent Centralised Policy Gradients | Advances in Neural Information Processing Systems | Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr | 2021/12/6 |
Regularized Softmax Deep Multi-Agent Q-Learning | Advances in Neural Information Processing Systems | Ling Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson | 2021/12/6 |
RODE: Learning Roles to Decompose Multi-Agent Tasks | Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson | 2020/10/4 | |
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey | Journal of Machine Learning Research | Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E Taylor | 2020/3/10 |
Optimistic Exploration even with a Pessimistic Initialisation | Tabish Rashid Bei Peng Wendelin Boehmer Shimon Whiteson | 2019/9/25 | |
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control | arXiv preprint arXiv:2003.06709 | Christian Schroeder de Witt Bei Peng Pierre-Alexandre Kamienny Philip Torr Wendelin Böhmer | 2020/3/14 |
Special issue on adaptive and learning agents 2019 | The Knowledge Engineering Review | Patrick Mannion Patrick MacAlpine Bei Peng Roxana Radulescu | 2020/5/7 |
Co-Authors
