Neil Burch

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

2019 · International Conference on Machine Learning

When observing the actions of others, humans make inferences about why they acted as they did, and what this implies about the world; humans also use the fact that their actions will be interpreted in …

Human-Agent Cooperation in Bridge Bidding

2020 · arXiv (Cornell University)

We introduce a human-compatible reinforcement-learning approach to a cooperative game, making use of a third-party hand-coded human-compatible bot to generate initial training data and to perform initial evaluation. Our learning approach consists of imitation learning, …