16 citations · 26 across the 13 of their papers we have counts for
3 papers · 1 filter
Multi-Agent Advisor Q-Learning
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson +1
In the last decade, there have been significant advances in multi-agent reinforcement learning (MARL) but there are still numerous challenges, such as high sample complexity and sl…
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects
Ariel Rosenfeld, Moshe Cohen, Matthew E. Taylor +1
Reinforcement Learning (RL) can be extremely effective in solving complex, real-world problems. However, injecting human knowledge into an RL agent may require extensive effort and…
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach
Weixun Wang, Jianye Hao, Yixi Wang +1
The Iterated Prisoner's Dilemma has guided research on social dilemmas for decades. However, it distinguishes between only two atomic actions: cooperate and defect. In real-world p…