Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

Python implementation of KNN and DTW classification algorithm

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Content aware image resizing

? Python library for Stochastic Processes Simulation and Visualisation

Tensorflow + Molecules = TensorMol

Safe reinforcement learning with stability guarantees

Collection of Algorithms implemented in Zig.

Robust BIM-based 2D-LiDAR Localization for Lifelong Indoor Navigation in Changing and Dynamic Environments

Coding Demos from the School of AI's Move37 Course