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..

Step by Step Reinforcement Learning Tutorials.

Content aware image resizing

? Python library for Stochastic Processes Simulation and Visualisation

Tensorflow + Molecules = TensorMol

Collection of Algorithms implemented in Zig.

Safe reinforcement learning with stability guarantees

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