dxyang / DQN_pytorchLinks
Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
☆524Updated 7 years ago
Alternatives and similar repositories for DQN_pytorch
Users that are interested in DQN_pytorch are comparing it to the libraries listed below
Sorting:
- Simple A3C implementation with pytorch + multiprocessing☆646Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆592Updated 7 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆755Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆303Updated 5 years ago
- PyTorch implementation of soft actor critic☆894Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆411Updated 4 years ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆311Updated 2 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆347Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆706Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆634Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆254Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆217Updated 6 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆402Updated 7 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,902Updated last year
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,259Updated 3 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,602Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- The code for maddpg using pytorch☆169Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆489Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,281Updated 5 years ago