proximal-policy-optimization

vwxyzjn/cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

ikostrikov/pytorch-a2c-ppo-acktr-gail

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).

nikhilbarhate99/PPO-PyTorch

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

Khrylx/PyTorch-RL

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

uvipen/Super-mario-bros-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

TianhongDai/reinforcement-learning-algorithms

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)

cpnota/autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

ChenglongChen/pytorch-DRL

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

Omegastick/pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

zuoxingdong/lagom

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

idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

miroblog/tf_deep_rl_trader

Trading Environment(OpenAI Gym) + PPO(TensorForce)

lcswillems/torch-ac

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

CherryPieSexy/imitation_learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

jcwleo/curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

uvipen/Contra-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Contra

adik993/ppo-pytorch

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

MarcoMeter/episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

MarcoMeter/recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT

Luca96/carla-driving-rl-agent

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

pekaalto/sc2aibot

Implementing reinforcement-learning algorithms for pysc2 -environment

navuboy/gail_gym

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

TianhongDai/distributed-ppo

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

asieradzk/RL_Matrix

Reinforcement Learning Agents in .NET

lnpalmer/PPO

PyTorch implementation of Proximal Policy Optimization

Phoenix-Shen/ReinforcementLearning

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

RLOpensource/Relational_Deep_Reinforcement_Learning

bmazoure/ppo_jax

Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.

wisnunugroho21/reinforcement_learning_ppo_rnd

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

cxxgtxy/POP3D

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

elsheikh21/car-racing-ppo

Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)

lucidrains/phasic-policy-gradient

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

TianhongDai/google-football-pytorch

It's the pytorch implementation of google research football.

wisnunugroho21/asynchronous_impala_PPO

Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation

jw1401/PPO-Tensorflow-2.0

Proximal Policy Optimization with Tensorflow 2.0