Mava
agents-aea
Our great sponsors
| Mava | agents-aea | |
|---|---|---|
| 5 | 3 | |
| 645 | 187 | |
| 5.7% | 1.1% | |
| 9.9 | 0.0 | |
| 9 days ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Mava
-
Starting wth Multi Agent Reinforcement Learning
If you want to play with models and algorithms around MARL, take a look at Mava.
-
Recomendations of framework/library for MARL
These are the main reasons we built Mava , a library built specifically for MARL. We are also in the process of rewriting it to be simpler to compose MARL components (communication, central training etc), and we are rewriting our codebase in JAX, so really looking forward to improved performance! (Disclaimer, I am one of the people working on Mava).
-
Training with multiple agents.
The OpenSpiel games (as well as several others) are also available from MAVA (https://github.com/instadeepai/Mava).
-
[R] Mava: a research framework for distributed multi-agent reinforcement learning
https://arxiv.org/abs/2107.01460 Mava, a scalable framework for research in multi-agent reinforcement learning, contains implementation for several multi-agent systems like multi-agent DQN (MADQN), MADDPG, MAPPO, MAD4PG, DIAL, QMIX, and VDN, and integrates well with multi-agent RL environments like PettingZoo, Flatland, OpenSpiel, RoboCup, and SMAC. On GitHub: https://github.com/instadeepai/Mava
agents-aea
What are some alternatives?
acme - A library of reinforcement learning components and agents
Adala - Adala: Autonomous DAta (Labeling) Agent framework
lingvo - Lingvo
multi_agent_path_planning - Python implementation of a bunch of multi-robot path-planning algorithms.
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
gym-multigrid - Lightweight multi-agent gridworld Gym environment
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Agently - [AI Agent Application Development Framework] - 🚀 Build AI agent native application in very few code 💬 Easy to interact with AI agent in code using structure data and chained-calls syntax 🧩 Enhance AI Agent using plugins instead of rebuild a whole new agent
TradingviewSnapshotBot - This is TradingviewSnapshotBot 🤖, It can generate Tradingview Chart Snapshots 📊 of your choice and send it over telegram.