VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
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Updated
Dec 17, 2019
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
An open-source Java library for Constraint Programming
Constraint Solving Problem resolver for Python
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
gophersat, a SAT solver in Go
WFC (Wave Function Collapse) and generic constraint satisfaction problem solver implementation for Godot 4
Generic Constraint Development Environment
Source Code for the Book Classic Computer Science Problems in Swift
Optimally allocate poker chips using constrained, nonlinear optimization
An Open Source .Net Constraint Programming Solver
Implementation of the overlapping model of the Wave Function Collapse algorithm
AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file
A Constraint Satisfaction Problem Solver in Pure Swift
random stuff in prolog
A Python Library for modeling combinatorial constrained problems
A Python package for automatic and optimized resource scheduling
Constraint Satisfaction Problem Solver for Golang
DDO a generic and efficient framework for MDD-based optimization.
ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models
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