Publications
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