NTT123 / a0-jax
AlphaZero in JAX
☆73Updated 9 months ago
Alternatives and similar repositories for a0-jax:
Users that are interested in a0-jax are comparing it to the libraries listed below
- ☆49Updated last year
- fast + parallel AlphaZero in JAX☆90Updated last month
- ♟️ Vectorized RL game environments in JAX☆435Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆135Updated 2 months ago
- MiniZero: An AlphaZero and MuZero Training Framework☆76Updated last month
- An implementation of MuZero in JAX.☆54Updated 2 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆155Updated 3 years ago
- Classic MCTS example with mctx☆16Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 5 months ago
- General Modules for JAX☆62Updated 5 months ago
- ☆72Updated 2 months ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆53Updated 2 months ago
- A simple implementation of MuZero algorithm for connect4 game☆97Updated 4 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- Baselines for gymnax 🤖☆61Updated last year
- ☆67Updated 5 months ago
- Modular framework for Reinforcement Learning in python☆170Updated last year
- Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree☆15Updated last year
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆230Updated last week
- Contains JAX implementation of algorithms for inverse reinforcement learning☆68Updated 5 months ago
- A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.☆69Updated last month
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Efficient baselines for autocurricula in JAX.☆176Updated 5 months ago
- ☆178Updated last month
- Standard interface for entity based reinforcement learning environments.☆36Updated 11 months ago
- Scaling scaling laws with board games.☆45Updated last year
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆39Updated 2 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆20Updated last year
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆52Updated last year
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆220Updated last week