ikostrikov / pytorch-a3cLinks
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
☆1,302Updated 6 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:
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆656Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,259Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,858Updated 3 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆419Updated 8 years ago
- Soft Actor-Critic☆1,184Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,372Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆623Updated 7 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,996Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆687Updated 4 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆418Updated 4 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆618Updated 8 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,120Updated 2 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆572Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆610Updated 8 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,905Updated last year
- PyTorch implementation of soft actor critic☆923Updated 4 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,751Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,049Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,190Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆728Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,820Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆680Updated 7 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆546Updated 7 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,467Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆776Updated 3 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆658Updated 5 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆870Updated 2 years ago