jaimeluengo / masac
Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm
☆19Updated 6 years ago
Alternatives and similar repositories for masac:
Users that are interested in masac are comparing it to the libraries listed below
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆80Updated 5 months ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆20Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆62Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆35Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆21Updated 2 months ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆48Updated 2 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆44Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆37Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆84Updated 4 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆10Updated 3 years ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 5 years ago
- Communication using GNN in MARL☆20Updated 3 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆36Updated 2 years ago
- Codes for the paper "Consensus Learning for Cooperative Multi-Agent Reinforcement Learning"☆16Updated 2 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆36Updated 4 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 4 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆48Updated 8 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 2 months ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆46Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- ☆14Updated 3 years ago
- RL Dresden Algorithm Suite☆30Updated 9 months ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago