ChenglongChen / pytorch-DRLLinks
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
☆579Updated 7 years ago
Alternatives and similar repositories for pytorch-DRL
Users that are interested in pytorch-DRL are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆663Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆743Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆700Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆630Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆709Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆395Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆482Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆545Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- PyTorch implementation of soft actor critic☆879Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆342Updated 5 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆411Updated 4 years ago
- Implementation of benchmark RL algorithms☆466Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆627Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,022Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,211Updated last year
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆607Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆642Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆343Updated 4 years ago
- multi-agent deep reinforcement learning for networked system control.☆413Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,217Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆601Updated 10 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆752Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,588Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆310Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,565Updated 10 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago