Search Results for author: Reda Bahi Slaoui

Found 3 papers, 2 papers with code

Robust Visual Domain Randomization for Reinforcement Learning

2 code implementations • 23 Oct 2019 • Reda Bahi Slaoui, William R. Clements, Jakob N. Foerster, Sébastien Toth

Producing agents that can generalize to a wide range of visually different environments is a significant challenge in reinforcement learning.

reinforcement-learning Reinforcement Learning (RL)

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Robust Domain Randomization for Reinforcement Learning

no code implementations • 25 Sep 2019 • Reda Bahi Slaoui, William R. Clements, Jakob N. Foerster, Sébastien Toth

In this work, we formalize the domain randomization problem, and show that minimizing the policy's Lipschitz constant with respect to the randomization parameters leads to low variance in the learned policies.

reinforcement-learning Reinforcement Learning (RL)

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Estimating Risk and Uncertainty in Deep Reinforcement Learning

2 code implementations • 23 May 2019 • William R. Clements, Bastien Van Delft, Benoît-Marie Robaglia, Reda Bahi Slaoui, Sébastien Toth

Reinforcement learning agents are faced with two types of uncertainty.

Bayesian Inference Distributional Reinforcement Learning +3

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