Max-We / alphazero-tetrisLinks
An implementation of AlphaZero and MCTS with neural networks for Tetris
☆22Updated 6 months ago
Alternatives and similar repositories for alphazero-tetris
Users that are interested in alphazero-tetris are comparing it to the libraries listed below
Sorting:
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆333Updated 2 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆182Updated 6 months ago
- Efficient baselines for autocurricula in JAX.☆196Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Accelerated minigrid environments with JAX☆147Updated 2 weeks ago
- ☆83Updated 10 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- Cost aware hyperparameter tuning algorithm☆168Updated last year
- OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).☆68Updated 8 months ago
- A simple, performant and scalable JAX-based world modeling codebase☆73Updated this week
- ☆83Updated 2 weeks ago
- A fast and robust algorithm for temporal difference learning☆19Updated 3 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Atari-style POMDPs☆15Updated this week
- A 3D video game environment and benchmark designed from scratch for reinforcement learning research☆188Updated 2 years ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- An implementation of PPO in Pytorch☆95Updated last month
- ☆52Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆111Updated 2 months ago
- The NetHack Learning Environment☆88Updated 2 weeks ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.☆623Updated last month
- General Modules for JAX☆67Updated last week
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆350Updated this week
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆56Updated this week
- Synchronized Curriculum Learning for RL Agents☆113Updated 3 weeks ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆32Updated 2 months ago
- ☆46Updated 2 months ago
- Accelerated replay buffers in JAX☆43Updated 3 years ago
- An Open-Ended Agentic Simulator☆52Updated last year