indigoLovee / DDPGLinks
DDPG in Pytorch
☆45Updated 3 years ago
Alternatives and similar repositories for DDPG
Users that are interested in DDPG are comparing it to the libraries listed below
Sorting:
- D3QN Pytorch☆62Updated 3 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆101Updated 3 weeks ago
- RL algorithms☆142Updated 4 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆202Updated 3 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆51Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆102Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 8 months ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆353Updated 4 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆166Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- TD3 in Pytorch☆34Updated 3 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆153Updated last year
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆47Updated 2 years ago
- kinds of reinforcement learning model by Pytorch☆339Updated 2 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
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆620Updated 2 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆243Updated 2 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆301Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- 多智能体强化学习☆100Updated 6 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆159Updated last year
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago