daveey / mettaLinks
☆22Updated last year
Alternatives and similar repositories for metta
Users that are interested in metta are comparing it to the libraries listed below
Sorting:
- A reinforcement learning codebase focusing on the emergence of cooperation and alignment in multi-agent AI systems.☆116Updated this week
- An Open-Ended Agentic Simulator☆52Updated last year
- A toolkit for practical Human-AI cooperation research☆14Updated last year
- Accelerated minigrid environments with JAX☆150Updated last month
- Efficient baselines for autocurricula in JAX.☆196Updated last year
- ☆84Updated last month
- Standard interface for entity based reinforcement learning environments.☆38Updated last year
- A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).☆133Updated 2 months ago
- Simple JAX Graphics Library.☆36Updated 11 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆336Updated 3 months ago
- A 3D video game environment and benchmark designed from scratch for reinforcement learning research☆188Updated 2 years ago
- Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.☆76Updated last week
- A Python interface for Minecraft built on gRPC☆126Updated 3 years ago
- PAIRED in PyTorch 🔥☆63Updated 2 years ago
- ☆39Updated last month
- Highly scalable 2D JAX physics engine.☆59Updated 7 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆253Updated 2 weeks ago
- A grid-world game engine for game AI research☆246Updated last year
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆236Updated 4 months ago
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆214Updated last week
- The NetHack Learning Environment☆92Updated last month
- Awesome Open-ended AI☆343Updated 2 months ago
- Baselines for gymnax 🤖☆72Updated 2 years ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆359Updated this week
- Interpreting how transformers simulate agents performing RL tasks☆88Updated last year
- Benchmarking the Spectrum of Agent Capabilities☆477Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆186Updated 6 months ago
- Accelerated Quality-Diversity☆321Updated 3 months ago
- JAX implementation of RL algorithms and vectorized environments☆49Updated last year