scascin0 / alphazeroLinks
A working AlphaZero implementation that's simple enough to be able to understand what's going on at a quick glance, without sacrificing too much.
☆13Updated 2 years ago
Alternatives and similar repositories for alphazero
Users that are interested in alphazero are comparing it to the libraries listed below
Sorting:
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated last month
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Baselines for gymnax 🤖☆67Updated 2 years ago
- Tabular methods for reinforcement learning☆38Updated 4 years ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆113Updated 10 months ago
- Accelerated minigrid environments with JAX☆139Updated 2 weeks ago
- General Modules for JAX☆65Updated 2 months ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆41Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- ☆82Updated 3 months ago
- ☆101Updated last year
- Reinforcement learning in pure JAX.☆13Updated 4 months ago
- Scaling scaling laws with board games.☆49Updated last year
- A videogame made with PyGame turned into an Open AI Gym Learning Environment for Reinforcement Learning agents.☆14Updated 2 years ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- ☆51Updated 2 years ago
- fast + parallel AlphaZero in JAX☆97Updated 6 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- MultiTask Environments for Reinforcement Learning.☆76Updated 2 years ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated last month
- An implementation of AlphaZero and MCTS with neural networks for Tetris☆21Updated 3 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆173Updated 3 months ago
- Gym environment for playing Wordle with RL agents☆39Updated 3 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago