Gouet / MADDPG-pytorchLinks
☆14Updated 6 years ago
Alternatives and similar repositories for MADDPG-pytorch
Users that are interested in MADDPG-pytorch are comparing it to the libraries listed below
Sorting:
- ☆19Updated 6 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆38Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)☆12Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆61Updated 2 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆22Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆204Updated last year
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆96Updated last year
- This is pytorch version of maddpg.☆10Updated 5 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆43Updated 2 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆39Updated 4 years ago
- Multi-Agent Deep Deterministic Policy Gradient implementation with pytorch☆10Updated 5 years ago
- ☆27Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 4 years ago
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆35Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- Nash Q Learning☆32Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Single-file pytorch implementation of hybrid-SAC☆61Updated 4 years ago
- The code for maddpg using pytorch☆169Updated 5 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆22Updated 6 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆57Updated 3 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆50Updated last year
- Code for the paper “Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning”☆25Updated 2 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆49Updated 4 years ago