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Sanjeevan Ahilan
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2020 – today
- 2023
- [i4]Sanjeevan Ahilan:
A Succinct Summary of Reinforcement Learning. CoRR abs/2301.01379 (2023) - 2021
- [c2]Sanjeevan Ahilan, Peter Dayan:
Correcting experience replay for multi-agent communication. ICLR 2021 - 2020
- [c1]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [i3]Sanjeevan Ahilan, Peter Dayan:
Correcting Experience Replay for Multi-Agent Communication. CoRR abs/2010.01192 (2020) - [i2]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
2010 – 2019
- 2019
- [j1]Sanjeevan Ahilan, Rebecca B. Solomon, Yannick-André Breton, Kent L. Conover, Ritwik K. Niyogi, Peter Shizgal, Peter Dayan:
Learning to use past evidence in a sophisticated world model. PLoS Comput. Biol. 15(6) (2019) - [i1]Sanjeevan Ahilan, Peter Dayan:
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. CoRR abs/1901.08492 (2019)
Coauthor Index
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