MorvanZhou / pytorch-A3CLinks
Simple A3C implementation with pytorch + multiprocessing
☆651Updated 2 years ago
Alternatives and similar repositories for pytorch-A3C
Users that are interested in pytorch-A3C are comparing it to the libraries listed below
Sorting:
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆618Updated 7 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆531Updated 7 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆675Updated 7 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,290Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- Implementation of benchmark RL algorithms☆470Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆597Updated 7 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆414Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,245Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆764Updated 3 years ago
- PyTorch implementation of soft actor critic☆904Updated last month
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆715Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆351Updated 5 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆412Updated 7 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,948Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,339Updated last year
- Soft Actor-Critic☆1,135Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆649Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆723Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆639Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆403Updated 5 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆567Updated 3 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆447Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,643Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,277Updated 5 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,076Updated 2 years ago