Search Results for author: Eric Langlois

Found 3 papers, 1 papers with code

Agent Incentives: A Causal Perspective

no code implementations2 Feb 2021 Tom Everitt, Ryan Carey, Eric Langlois, Pedro A Ortega, Shane Legg

We propose a new graphical criterion for value of control, establishing its soundness and completeness.

Fairness

The Incentives that Shape Behaviour

no code implementations20 Jan 2020 Ryan Carey, Eric Langlois, Tom Everitt, Shane Legg

Which variables does an agent have an incentive to control with its decision, and which variables does it have an incentive to respond to?

Fairness

Benchmarking Model-Based Reinforcement Learning

2 code implementations3 Jul 2019 Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba

Model-based reinforcement learning (MBRL) is widely seen as having the potential to be significantly more sample efficient than model-free RL.

Model-based Reinforcement Learning reinforcement-learning

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