google-deepmind / meltingpotLinks
A suite of test scenarios for multi-agent reinforcement learning.
☆763Updated last week
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 JAX☆698Updated 2 weeks ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆521Updated 3 weeks ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆860Updated last week
- A benchmark environment for fully cooperative human-AI performance.☆901Updated 8 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆353Updated 5 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆313Updated 3 weeks ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆504Updated 9 months ago
- Repo for reproduction of sequential social dilemmas☆407Updated 9 months ago
- Official code repo for the MARL book (www.marl-book.com)☆574Updated 8 months ago
- Benchmarking the Spectrum of Agent Capabilities☆492Updated last year
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆275Updated 3 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆734Updated 3 years ago
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary h…☆848Updated last week
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆785Updated last week
- High throughput synchronous and asynchronous reinforcement learning☆958Updated 3 weeks ago
- Really Fast End-to-End Jax RL Implementations☆989Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆703Updated last year
- A collection of multi agent environments based on OpenAI gym.☆624Updated last year
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆748Updated 2 weeks ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆490Updated last year
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆856Updated last year
- ☆1,295Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆655Updated last year
- RL Environments in JAX 🌍☆839Updated 6 months ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆463Updated this week
- A Python interface for reinforcement learning environments☆387Updated 2 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆491Updated 3 weeks ago
- Tools for accelerating safe exploration research.☆573Updated 2 years ago
- A grid-world game engine for game AI research☆252Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,367Updated this week