zhangchuheng123 / Reinforcement-Implementation
Implementation of benchmark RL algorithms
☆467Updated 2 years ago
Alternatives and similar repositories for Reinforcement-Implementation:
Users that are interested in Reinforcement-Implementation are comparing it to the libraries listed below
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆256Updated 4 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆645Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆632Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆564Updated 7 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆617Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆449Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆622Updated 3 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆521Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆308Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆499Updated 6 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆464Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆675Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆597Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆299Updated 8 months ago
- Mean Field Multi-Agent Reinforcement Learning☆389Updated 5 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- ☆163Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,547Updated 2 years ago
- Code for conservative Q-learning☆428Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆744Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆535Updated 3 years ago
- PyTorch implementation of soft actor critic☆864Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆594Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆330Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆329Updated 5 years ago