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

The recommendation engine for Python software stacks and Dependency Monkey in project Thoth.

TD-Regularized Actor-Critic Methods

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

Implementation of fundamental concepts and algorithms for reinforcement learning

Implementation and Notes of different Reinforcement Learning Algorithms

Step by Step Reinforcement Learning Tutorials.

NCTU(NYCU) Deep Learning and Practice Spring 2021

Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.

Multi-Armed Bandit Simulation, MDP GridWorld Example, Random Walk Problem by TD and MC

Reinforcement learning agents in Python (dynamic programming, temporal-difference, deep Q-learning, stochastic/deterministic policy gradients)

Temporal difference learning for ultimate tic-tac-toe.

a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments

My Implementation of the Accelerated Gradient Temporal Difference Learning algorithm in Python

Implementation of td policy evaluation and q-learning on a grid world.

Implementation of several algorithms in RL based on Prof. sutton's book

Monte Carlo and Temporal Difference implementation from Chapter 5 and Chapter 6 of Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton.

Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.

Just a bunch of exercises created during my thesis work working on Reinforcement Learning.