JohannesAck / tf2multiagentrl
Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
☆139Updated last year
Alternatives and similar repositories for tf2multiagentrl:
Users that are interested in tf2multiagentrl are comparing it to the libraries listed below
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated 2 months ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆43Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- The code for maddpg using pytorch☆164Updated 4 years ago
- ☆191Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆105Updated 10 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆122Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆199Updated 5 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆157Updated 9 months ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆29Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆113Updated 2 years ago
- ☆93Updated 3 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆318Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- ☆49Updated 8 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆55Updated 2 years ago
- Code for Weighted QMIX☆126Updated 4 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆184Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆100Updated 3 weeks ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 7 months ago
- D3QN Pytorch☆57Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆443Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆60Updated 2 years ago