google-deepmind / meltingpotLinks
A suite of test scenarios for multi-agent reinforcement learning.
β737Updated last month
Alternatives and similar repositories for meltingpot
Users that are interested in meltingpot are comparing it to the libraries listed below
Sorting:
- Multi-Agent Reinforcement Learning with JAXβ643Updated 2 months ago
- π¦ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXβ840Updated last week
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environmentsβ304Updated 7 months ago
- Benchmarking the Spectrum of Agent Capabilitiesβ477Updated last year
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.β848Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.β717Updated 2 years ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algβ¦β472Updated this week
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Researchβ503Updated 7 months ago
- Multi-objective Gymnasium environments for reinforcement learningβ343Updated 3 months ago
- High throughput synchronous and asynchronous reinforcement learningβ944Updated 4 months ago
- A benchmark environment for fully cooperative human-AI performance.β863Updated 6 months ago
- β1,256Updated last year
- Repo for reproduction of sequential social dilemmasβ406Updated 7 months ago
- A Python interface for reinforcement learning environmentsβ377Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of codeβ702Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (β¦β478Updated last year
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hβ¦β826Updated this week
- Really Fast End-to-End Jax RL Implementationsβ955Updated last year
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learningβ740Updated 3 weeks ago
- A collection of multi agent environments based on OpenAI gym.β618Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesβ441Updated last month
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)β267Updated last month
- Tools for accelerating safe exploration research.β556Updated 2 years ago
- RL Environments in JAX πβ813Updated 4 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of β¦β462Updated this week
- A grid-world game engine for game AI researchβ247Updated last year
- Official code repo for the MARL book (www.marl-book.com)β546Updated 6 months ago
- πΉοΈ A diverse suite of scalable reinforcement learning environments in JAXβ762Updated 3 months ago
- A curated list of awesome Deep Reinforcement Learning resources.β812Updated 2 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment supportβ625Updated last year