Agent Incentives: A Causal Perspective. (summary)
Tom Everitt*, Ryan Carey*, Eric Langlois*, Pedro A. Ortega, Shane Legg. AAAI 2021

How RL Agents Behave When Their Actions Are Modified. (summary, code)
Eric Langlois and Tom Everitt. AAAI 2021

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

The Incentives that Shape Behaviour.
Ryan Carey*, Eric Langlois*, Tom Everitt, Shane Legg. SafeAI 2020 Workshop

Benchmarking Model-Based Reinforcement Learning. (summary, PILCO code)
Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba ArXiv 2019.

(*) Equal Contribution