MAgent
RL platform
A platform for multi-agent reinforcement learning research and development
A Platform for Many-Agent Reinforcement Learning
2k stars
68 watching
333 forks
Language: Python
last commit: about 2 years ago
Linked from 2 awesome lists
deep-learningmulti-agentreinforcement-learning
aikorea/awesome-rl
zslucky/awesome-ai-booksRelated projects:
| Repository | Description | Stars |
|---|---|---|
 google-deepmind/rlax | A Python library providing reinforcement learning building blocks for implementing agent policies and functions | 1,263 |
 aunum/gold | A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments. | 345 |
| google-deepmind/meltingpot | Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations | 620 |
 eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 589 |
 catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
 rll-research/url_benchmark | A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance. | 332 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
 google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
 carla-simulator/reinforcement-learning | An implementation of an actor-critic reinforcement learning algorithm in Python. | 243 |
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 828 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
 horizonrobotics/alf | A reinforcement learning framework designed to implement complex algorithms with flexibility and ease of use | 302 |