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The Top 9 Proximal Policy Optimization Advantage Actor Critic Open Source Projects

Open source projects categorized as Proximal Policy Optimization Advantage Actor Critic
Categories > Advantage Actor Critic
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
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
Autonomous Learning Library ⭐ 616
A PyTorch library for building deep reinforcement learning agents.
total releases 16most recent commit 4 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
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
Curiosity Driven Exploration Pytorch ⭐ 98
Curiosity-driven Exploration by Self-supervised Prediction
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
Pysc2_rl ⭐ 9
most recent commit 6 years ago
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