Simple Reinforcement learning tutorials

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A PyTorch library for building deep reinforcement learning agents.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

PyTorch C++ Reinforcement Learning

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

Implementing reinforcement-learning algorithms for pysc2 -environment

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Curiosity-driven Exploration by Self-supervised Prediction

PyTorch implementation of Proximal Policy Optimization

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

It's the pytorch implementation of google research football.

Implementation of Scheduled Policy Optimization for task-oriented language grouding

PyTorch implementation of some reinforcement learning algorithms: Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), V-MPO, Behavior Cloning (BC). More algorithms will be added.

Proximal Policy Optimization with Tensorflow 2.0

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Udacity Deep Reinforcement Learning Nanodegree Program

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

RLbox: Solving OpenAI Gym with TensorFlow

An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch