2 papers
cs.LG2025
Interpreting Emergent Planning in Model-Free Reinforcement Learning
Thomas Bush, Stephen Chung, Usman Anwar +2
We present the first mechanistic evidence that model-free reinforcement learning agents can learn to plan. This is achieved by applying a methodology based on concept-based interpr…
cs.AI2024
Predicting Future Actions of Reinforcement Learning Agents
Stephen Chung, Scott Niekum, David Krueger
As reinforcement learning agents become increasingly deployed in real-world scenarios, predicting future agent actions and events during deployment is important for facilitating be…