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 2 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☆154Updated last year
- The code for maddpg using pytorch☆168Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆137Updated last year
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆73Updated last month
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆147Updated last year
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆198Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆43Updated 2 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆47Updated 3 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆345Updated 4 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆144Updated last year
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆57Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆82Updated 6 months ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- ☆57Updated last year
- qmix☆22Updated 5 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆77Updated last month
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆22Updated 3 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆151Updated 11 months ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago
- D3QN Pytorch☆63Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆482Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆70Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆174Updated last year
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆590Updated 2 years ago