Lizhi-sjtu / Rainbow-DQN-pytorchLinks
This is a concise Pytorch implementation of Rainbow DQN, including Double Q-learning, Dueling network, Noisy network, PER and n-steps Q-learning.
☆32Updated 3 years ago
Alternatives and similar repositories for Rainbow-DQN-pytorch
Users that are interested in Rainbow-DQN-pytorch are comparing it to the libraries listed below
Sorting:
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆356Updated 4 years ago
- Deep reinforcement learning algorithms implemented using PyTorch, including DQN、DDPG、PPO、SAC、DDQN、Noisy-DQN.☆29Updated last month
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆112Updated 2 months ago
- my code for paper Parameterized-DQN☆23Updated 4 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆32Updated last month
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆54Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆163Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆349Updated 5 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆52Updated 3 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆84Updated 5 months ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆169Updated last year
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆99Updated 5 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆646Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆206Updated 3 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆640Updated 2 years ago
- Implement reinforcement learning algorithms in Pytorch☆34Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆500Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆143Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- D3QN Pytorch☆62Updated 3 years ago
- Patent : An anti-jamming communication method for unmanned cluster based on meta-reinforcement learning (一种基于元强化学习的无人集群抗干扰通信方法)☆18Updated 10 months ago
- RL algorithms☆142Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆650Updated 5 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆313Updated 2 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago