nedeljkovignjevic / chessmcLinks
MCTS based chess engine
☆14Updated 4 years ago
Alternatives and similar repositories for chessmc
Users that are interested in chessmc are comparing it to the libraries listed below
Sorting:
- ☆52Updated 2 years ago
- ☆68Updated 3 years ago
- Code for Learning to Synthesize Programs as Interpretable and Generalizable Policies in NeurIPS 2021☆39Updated 2 years ago
- ☆19Updated 3 years ago
- code for icml paper: https://arxiv.org/abs/1711.03243v3☆11Updated 7 years ago
- ☆43Updated 2 years ago
- 🌳 Python implementation of single-player Monte-Carlo Tree Search.☆63Updated 4 years ago
- Fully differentiable RL environments, written in Ivy.☆65Updated last year
- A public repository for "Write, Execute, Assess: Program Synthesis With a REPL" project by Kevin Ellis, Max Nye, Yewen Pu, Felix Sosa, Jo…☆38Updated 5 years ago
- a collection of Gymnasium environments for saturation provers☆22Updated 2 months ago
- ☆28Updated 7 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆27Updated 4 years ago
- Official repository of Brick-by-Brick, presented at NeurIPS-2021☆14Updated 3 years ago
- Library for running a Monte Carlo tree search, either traditionally or with expert policies☆126Updated last year
- map elites python reference implementation☆91Updated last year
- The Differentiable Cross-Entropy Method☆123Updated 5 years ago
- ☆496Updated 3 months ago
- Library to compare and evaluate reward functions☆67Updated last year
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 4 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆160Updated 4 years ago
- A collection of papers on divergence and quality diversity☆77Updated 3 years ago
- A scalable abstraction learning library☆80Updated this week
- List of resources for learning Category Theory☆266Updated 8 months ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 2 months ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆90Updated 6 years ago
- Learning local search heuristics for Boolean satisfiability☆37Updated last year
- ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.☆72Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago