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cs.AI2018
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…
cs.AI2018
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…