lowrollr / turbozeroLinks
fast + parallel AlphaZero in JAX
☆96Updated 6 months ago
Alternatives and similar repositories for turbozero
Users that are interested in turbozero are comparing it to the libraries listed below
Sorting:
- Simple single-file baselines for Q-Learning in pure-GPU setting☆172Updated 3 months ago
- ☆81Updated 3 months ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 7 months ago
- AlphaZero in JAX☆77Updated last year
- Efficient baselines for autocurricula in JAX.☆190Updated 10 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆226Updated 3 weeks ago
- ☆80Updated 7 months ago
- Classic MCTS example with mctx☆18Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- Accelerated minigrid environments with JAX☆139Updated 2 weeks ago
- MiniZero: An AlphaZero and MuZero Training Framework☆94Updated 4 months ago
- fast + parallel AlphaZero in PyTorch☆12Updated last year
- Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree☆20Updated last month
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆113Updated 10 months ago
- ☆51Updated 2 years ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆335Updated last week
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆238Updated 2 months ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆102Updated last year
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆66Updated last year
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆317Updated 3 weeks ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆104Updated 2 months ago
- General Modules for JAX☆65Updated 2 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆24Updated 2 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆52Updated 2 years ago
- An Open-Ended Agentic Simulator☆50Updated 10 months ago
- Clean single-file implementation of offline RL algorithms in JAX☆146Updated 6 months ago
- cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.☆32Updated 10 months ago