pytorch-a2c-ppo-acktr-gail
RL frameworks
An open-source implementation of several reinforcement learning algorithms in PyTorch
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).
4k stars
66 watching
827 forks
Language: Python
last commit: over 2 years ago a2cacktractor-criticadvantage-actor-criticaleataricontinuous-controldeep-learningdeep-reinforcement-learninghessiankfackronecker-factored-approximationmujoconatural-gradientsppoproximal-policy-optimizationpytorchreinforcement-learningroboschoolsecond-order
Related projects:
| Repository | Description | Stars |
|---|---|---|
 p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,659 |
| ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 434 |
 andrewliao11/pytorch-a3c-mujoco | An implementation of the Actor-Critic algorithm for continuous control tasks in MuJoCo environments using PyTorch. | 73 |
 pytorch/botorch | A PyTorch-based library for Bayesian optimization, providing a modular interface for composing and optimizing probabilistic models. | 3,114 |
 shangtongzhang/deeprl | A modularized implementation of various deep reinforcement learning algorithms in PyTorch | 3,204 |
 thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,023 |
| ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
 tju-drl-lab/ai-optimizer | A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning | 4,805 |
 higgsfield/rl-adventure | A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks | 3,041 |
| pytorch/examples | A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,490 |
 onlytailei/carla_cil_pytorch | Implementation of a conditional imitation learning policy in PyTorch for autonomous driving using the Carla dataset. | 66 |
| onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
 cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 646 |
 alexis-jacq/pytorch-dppo | A PyTorch implementation of Distributed Proximal Policy Optimization algorithm | 180 |