This repo contains the Hugging Face Deep Reinforcement Learning Course.

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

TensorFlow implementation of Deep Reinforcement Learning papers

For deep RL and the future of AI.

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446 text-audio annotated samples specifically designed for complex reasoning tasks. Building on this resource, we propose SoundMind, a rule-based reinforcement learning (RL) algorithm tailored to endow audio language models (ALMs) with deep bimodal reasoning abilities.

Theano-based implementation of Deep Q-learning

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Deep RL for MPC control of Quadruped Robot Locomotion

A curated list of awesome Deep Reinforcement Learning resources.

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A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112)

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

PyTorch implementation of deep reinforcement learning algorithms

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

terrain-adaptive locomotion skills using deep reinforcement learning

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

playing idealized trading games with deep reinforcement learning

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)