google-deepmind / mctxLinks
Monte Carlo tree search in JAX
☆2,578Updated 4 months ago
Alternatives and similar repositories for mctx
Users that are interested in mctx are comparing it to the libraries listed below
Sorting:
- ☆1,398Updated 3 weeks ago
- ♟️ Vectorized RL game environments in JAX☆567Updated 10 months ago
- ☆929Updated last year
- JAX-based neural network library☆3,158Updated 3 weeks ago
- Really Fast End-to-End Jax RL Implementations☆1,010Updated last year
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.☆920Updated 2 years ago
- Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.☆1,620Updated this week
- Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.☆1,406Updated 8 months ago
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,835Updated 6 months ago
- Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.☆861Updated last year
- ☆2,801Updated last year
- Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)☆1,299Updated last year
- MuZero☆2,755Updated last year
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆794Updated last month
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆688Updated last year
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary h…☆858Updated 2 weeks ago
- High throughput synchronous and asynchronous reinforcement learning☆966Updated last month
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,112Updated last month
- ☆728Updated 2 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,729Updated 2 weeks ago
- RL Environments in JAX 🌍☆845Updated 7 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,142Updated this week
- The NetHack Learning Environment☆973Updated last year
- A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.☆2,963Updated 2 months ago
- A library of reinforcement learning components and agents☆3,888Updated 2 weeks ago
- OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.☆4,957Updated this week
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,240Updated this week
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,005Updated this week
- A suite of test scenarios for multi-agent reinforcement learning.☆776Updated last week
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.☆666Updated 4 months ago