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The Top 23 Reinforcement Learning Ppo Proximal Policy Optimization Open Source Projects

Open source projects categorized as Reinforcement Learning Ppo Proximal Policy Optimization
Categories > Machine Learning > Proximal Policy Optimization
Categories > Machine Learning > Reinforcement Learning
Reinforcement Learning With Tensorflow ⭐ 8,174
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
most recent commit 9 months ago
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
Pytorch A2c Ppo Acktr Gail ⭐ 3,450
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).
most recent commit 2 years ago
Ppo Pytorch ⭐ 1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
most recent commit 5 months ago
Super Mario Bros Ppo Pytorch ⭐ 692
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
most recent commit 3 years 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
Pytorch Drl ⭐ 387
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
most recent commit 6 years ago
Lagom ⭐ 365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
most recent commit 4 years ago
Pytorch Cpp Rl ⭐ 308
PyTorch C++ Reinforcement Learning
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
Sc2aibot ⭐ 84
Implementing reinforcement-learning algorithms for pysc2 -environment
most recent commit 6 years ago
Gail_gym ⭐ 75
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
most recent commit 5 years 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
Relational_deep_reinforcement_learning ⭐ 41
most recent commit 5 years ago
Ppo ⭐ 40
PyTorch implementation of Proximal Policy Optimization
most recent commit 6 years ago
Rl_matrix ⭐ 36
Reinforcement Learning Agents in .NET
most recent commit 3 months ago
Pop3d ⭐ 35
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
most recent commit 5 years ago
Ppo Pytorch ⭐ 35
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
most recent commit 5 years ago
Ppo_jax ⭐ 33
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
most recent commit 2 years 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
Reinforcement_learning_phasic_policy_gradient ⭐ 10
Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
most recent commit 3 years ago
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