pytorch-a3c-mujoco
Actor-Critic algorithm
An implementation of the Actor-Critic algorithm for continuous control tasks in MuJoCo environments using PyTorch.
Implement A3C for Mujoco gym envs
73 stars
6 watching
19 forks
Language: Python
last commit: almost 9 years agoa3cactor-criticcontinuous-controlmujocopytorchreinforcement-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 rarilurelo/pytorch_a3c | An implementation of Asynchronous Advantage Actor-Critic in PyTorch for training AI models on reinforcement learning tasks | 38 |
 onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
 dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
 chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 266 |
 ruotianluo/self-critical.pytorch | An implementation of Self-critical Sequence Training for Image Captioning and related techniques. | 998 |
 ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 435 |
| ikostrikov/pytorch-a2c-ppo-acktr-gail | An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,644 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
 yukkyo/pytorch-filterresponsenormalizationlayer | An implementation of Filter Response Normalization Layer in PyTorch to improve the training of deep neural networks by eliminating batch dependence. | 86 |
 alexis-jacq/pytorch-dppo | A PyTorch implementation of Distributed Proximal Policy Optimization algorithm | 180 |
 tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 182 |
 fducau/aae_pytorch | An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data. | 199 |
 packtpublishing/hands-on-intelligent-agents-with-openai-gym | Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 374 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 ethanluoyc/e2c-pytorch | An implementation of the E2C control policy in PyTorch, allowing customization and comparison with different neural network architectures. | 43 |