Reinforcement Learning

Syllabus: Portable Curricula for Reinforcement Learning Agents (Outstanding Paper Award)

Curriculum learning has been a quiet, yet crucial component of many high-profile successes of reinforcement learning. Despite this, it is still a niche topic that is not directly …

Ryan Sullivan
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Better Gradient Steps for Deep On-Policy Reinforcement Learning

This paper studies how the collected transitions can be prioritized to speed up the gradient ascent process toward a favorable policy. To do so, we weigh the transitions in the …

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Ryan Pégoud
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Rainbow: The Colorful Evolution of Deep Q-Networks 🌈 featured image

Rainbow: The Colorful Evolution of Deep Q-Networks 🌈

Published on Towards Data Science

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Ryan Pégoud
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A Practical Guide to Proximal Policy Optimization in JAX 📈 featured image

A Practical Guide to Proximal Policy Optimization in JAX 📈

Published on Towards Data Science

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Ryan Pégoud
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A Gentle Introduction to Deep Reinforcement Learning in JAX 🕹️ featured image

A Gentle Introduction to Deep Reinforcement Learning in JAX 🕹️

Published on Towards Data Science

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Ryan Pégoud
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