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The Top 18 Python Deep Reinforcement Learning Proximal Policy Optimization Open Source Projects

Open source projects categorized as Python Deep Reinforcement Learning Proximal Policy Optimization
Categories > Machine Learning > Deep Reinforcement Learning
Categories > Machine Learning > Proximal Policy Optimization
Cleanrl ⭐ 3,947
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
most recent commit 3 months ago
Ppo Pytorch ⭐ 1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
most recent commit 5 months ago
Pytorch Rl ⭐ 638
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
most recent commit 3 years ago
Autonomous Learning Library ⭐ 616
A PyTorch library for building deep reinforcement learning agents.
total releases 16most recent commit 5 months ago
Reinforcement Learning Algorithms ⭐ 407
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)
most recent commit 3 years ago
Lagom ⭐ 365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
most recent commit 4 years ago
Torch Ac ⭐ 134
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
most recent commit 2 years ago
Episodic Transformer Memory Ppo ⭐ 99
Clean baseline implementation of PPO using an episodic TransformerXL memory
most recent commit 3 months ago
Autonomous Driving In Carla Using Deep Reinforcement Learning ⭐ 61
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
most recent commit a year ago
Imitation_learning ⭐ 56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
most recent commit 2 years ago
Carla Driving Rl Agent ⭐ 39
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
most recent commit 2 years ago
Reinforcement Learning ⭐ 33
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
most recent commit 7 months ago
Reinforcementlearning ⭐ 32
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 basd)的代码，代码都经过调试并可以运行
most recent commit 6 months ago
Tradernet Crv2 ⭐ 18
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
most recent commit 7 months ago
Reinforcement_learning_ppo_rnd ⭐ 14
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
most recent commit 3 years ago
Spacefortress ⭐ 9
OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206
most recent commit 2 years ago
Icm Ppo Implementation ⭐ 8
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
most recent commit 4 months ago
Car Racing Ppo ⭐ 5
Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
most recent commit 5 years ago
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