Benchmarking Model-Based Reinforcement Learning. - Tingwu Wang; Xuchan Bao; Ignasi Clavera; Jerrick Hoang; Yeming Wen; Eric D. Langlois 002; Shunshi Zhang 001; Guodong Zhang 006; Pieter Abbeel; Jimmy Ba (CoRR, 2019)

The Incentives that Shape Behaviour. - Ryan Carey; Eric D. Langlois 002; Tom Everitt; Shane Legg (CoRR, 2020)

Agent Incentives: A Causal Perspective. - Tom Everitt; Ryan Carey; Eric D. Langlois 002; Pedro A. Ortega; Shane Legg (AAAI, 2021)

How RL Agents Behave When Their Actions Are Modified. - Eric D. Langlois 002; Tom Everitt (AAAI, 2021)

PyCID: A Python Library for Causal Influence Diagrams. - James Fox; Tom Everitt; Ryan Carey; Eric D. Langlois 002; Alessandro Abate; Michael J. Wooldridge (SciPy, 2021)