Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
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Updated
Sep 18, 2018 - Python
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.
TD, a model of second/higher order conditioning
Temporal Difference methods - A simple implementation of SARSA algorithm applied to OpenAI gym's "CliffWalking" environment.
Temporal difference learning for ultimate tic-tac-toe.
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.
TD-Regularized Actor-Critic Methods
Implementation and Notes of different Reinforcement Learning Algorithms
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
DiceUp is a collection of backgammon playing AI's.
Implementation of fundamental concepts and algorithms for reinforcement learning
a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments
Multi-Armed Bandit Simulation, MDP GridWorld Example, Random Walk Problem by TD and MC
Implementation of several algorithms in RL based on Prof. sutton's book
Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.
NCTU(NYCU) Deep Learning and Practice Spring 2021
Step by Step Reinforcement Learning Tutorials.
CS234 Courswork
Just a bunch of exercises created during my thesis work working on Reinforcement Learning.
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