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GenRL is a PyTorch-First Reinforcement Learning library centered around reproducible and generalizable algorithm implementations.
reinforcement-learning pytorch deep-q-networks multi-agent-reinforcement-learning
Python Implementation of Reinforcement Learning: An Introduction
Plot replications, exercise solutions and Anki flashcards for the entire book by chapters.
reinforcement-learning code book tutorial
Introduction to Reinforcement Learning
In this video I give a brief introduction to Reinforcement Learning.
reinforcement-learning code notebook video
Spinning Up in Deep RL (OpenAI)
An educational resource to help anyone learn deep reinforcement learning.
reinforcement-learning tensorflow pytorch openai
Reinforcement Learning Tutorial
Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q.
reinforcement-learning tutorial notebook code
Rlx: A modular Deep RL library for research
"rlx" is a Deep RL library written on top of PyTorch & built for educational and research purpose.
reinforcement-learning deep-learning article code
NetHack Learning Environment (NLE)
A procedurally-generated grid-world dungeon-crawl game that strikes a great balance between complexity and speed for single-agent RL research.
reinforcement-learning game nethack gym
Automatic Data Augmentation for Generalization in Deep RL
We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value ...
data-augmentation reinforcement-learning kornia pytorch
Plan2Explore: Plan to Explore via Self-Supervised World Models
A self-supervised reinforcement learning agent that tackles task-specific and the sample efficiency challenges.
self-supervised-learning reinforcement-learning plan2explore article
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