arjangroen / RLCLinks
A collection of Reinforcement Learning Chess Algorithms
☆36Updated 2 years ago
Alternatives and similar repositories for RLC
Users that are interested in RLC are comparing it to the libraries listed below
Sorting:
- Research project: create a chess engine using Deep Reinforcement Learning☆142Updated 11 months ago
- An environment of the board game Go using OpenAI's Gym API☆172Updated 3 years ago
- The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with☆215Updated 2 years ago
- A structured implementation of MuZero☆204Updated 3 years ago
- ☆8Updated 2 years ago
- PyTorch implementation of AlphaZero Chess from scratch☆162Updated 10 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆227Updated 4 months ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 2 years ago
- ☆184Updated 3 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆126Updated 5 years ago
- A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.☆76Updated 5 months ago
- Interactive tutorial to build a learning Mario, for first-time RL learners☆233Updated 2 years ago
- Reinforcement learning tutorials☆385Updated 2 years ago
- ☆220Updated last year
- A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games☆137Updated 7 months ago
- Solving OpenAI Gym problems.☆187Updated 4 years ago
- Pytorch Implementation of MuZero☆352Updated last year
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆122Updated 2 weeks ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆181Updated 8 months ago
- Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆69Updated last year
- A checkers reinforcement learning AI, and all the tools needed to train it.☆56Updated 5 years ago
- Example code for the Gym documentation☆72Updated last year
- ☆408Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- A grid-world game engine for game AI research☆242Updated last year
- Learning from zero (mostly based off of AlphaZero) in General Game Playing.☆82Updated 2 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- An OpenAI Gym environment for the Flappy Bird game☆71Updated last year
- ☆28Updated 2 years ago
- ☆67Updated 3 years ago