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The Top 17 Reinforcement Learning Advantage Actor Critic Open Source Projects

Open source projects categorized as Reinforcement Learning Advantage Actor Critic
Categories > Advantage Actor Critic
Categories > Machine Learning > Reinforcement Learning
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
Btgym ⭐ 825
Scalable, event-driven, deep-learning-friendly backtesting library
most recent commit 3 years ago
Deeprl Tutorials ⭐ 726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
most recent commit 3 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
Tensorflow2 Deep Reinforcement Learning ⭐ 203
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
most recent commit 3 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
Pytorch Rl ⭐ 64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
most recent commit 4 years 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
Reinforcementlearning ⭐ 48
Reinforcing Your Learning of Reinforcement Learning
most recent commit 5 years ago
Master Thesis ⭐ 25
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
most recent commit 6 years ago
Dex ⭐ 13
[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
most recent commit a year ago
Pytorch A2c ⭐ 10
A well-documented A2C written in PyTorch
most recent commit 5 years ago
Deep Bayesian Quadrature Policy Optimization ⭐ 9
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
most recent commit 3 years ago
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