Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Simple Reinforcement learning tutorials

Minimal and Clean Reinforcement Learning Examples

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Deep Reinforcement Learning with pytorch & visdom

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Scalable, event-driven, deep-learning-friendly backtesting library

Asynchronous Methods for Deep Reinforcement Learning

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Accompanying repository for Let's make a DQN / A3C series.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

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

Simple A3C implementation with pytorch + multiprocessing

This is a simple implementation of DeepMind's PySC2 RL agents.

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

A continuous action space version of A3C LSTM in pytorch plus A3G design

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

Implementations of deep RL papers and random experimentation

A high-performance Atari A3C agent in 180 lines of PyTorch

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Combining deep learning and reinforcement learning.

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Implement A3C for Mujoco gym envs