Unity-Technologies / paper-ml-agentsLinks
A repository to reproduce the experiments of the MA-POCA paper
☆22Updated last year
Alternatives and similar repositories for paper-ml-agents
Users that are interested in paper-ml-agents are comparing it to the libraries listed below
Sorting:
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆208Updated last year
- This is the official implementation of Multi-Agent PPO.☆128Updated 2 years ago
- MATE: the Multi-Agent Tracking Environment.☆48Updated 2 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆156Updated last year
- ☆106Updated 4 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆107Updated last year
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆35Updated 3 years ago
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆28Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆151Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆53Updated last year
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆24Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆83Updated 3 years ago
- ☆277Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆400Updated last year
- Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.☆26Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- A collection of recent MARL papers☆99Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- ☆220Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆171Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆137Updated 5 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 9 months ago