3 papers
cs.LG2021
The Atari Data Scraper
Brittany Davis Pierson, Justine Ventura, Matthew E. Taylor
Reinforcement learning has made great strides in recent years due to the success of methods using deep neural networks. However, such neural networks act as a black box, obscuring…
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…