Eric D. Langlois

According to our database, Eric D. Langlois authored at least 6 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

PyCID: A Python Library for Causal Influence Diagrams.

James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

How RL Agents Behave When Their Actions Are Modified.

Eric D. Langlois, Tom Everitt

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Agent Incentives: A Causal Perspective.

Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Incentives that Shape Behaviour.

Ryan Carey, Eric D. Langlois, Tom Everitt, Shane Legg

CoRR, 2020

2019

Benchmarking Model-Based Reinforcement Learning.

Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba

CoRR, 2019

2014

Establishing Trust in Multiagent Environments: Realizing the Comprehensive Trust Management Dream.

Thomas T. Tran, Robin Cohen, Eric D. Langlois

Proceedings of the 17th International Workshop on Trust in Agent Societies co-located with the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), 2014