Multi-Armed Bandit Simulation, MDP GridWorld Example, Random Walk Problem by TD and MC
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Updated
Sep 14, 2020 - Jupyter Notebook
Multi-Armed Bandit Simulation, MDP GridWorld Example, Random Walk Problem by TD and MC
Just a bunch of exercises created during my thesis work working on Reinforcement Learning.
CS234 Courswork
Implementation of td policy evaluation and q-learning on a grid world.
Optimising the blackjack game
Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.
a collection of python notebooks using RL agents to play Atari games in OpenAI gym environments
NCTU(NYCU) Deep Learning and Practice Spring 2021
TD, a model of second/higher order conditioning
Temporal Difference methods - A simple implementation of SARSA algorithm applied to OpenAI gym's "CliffWalking" environment.
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.
My Implementation of the Accelerated Gradient Temporal Difference Learning algorithm in Python
A minimal Rust library for solving finite deterministic Markov decision processes
🧨 Interactive temporal difference algorithm simulator in which agent has to find the optimal path to reach certain destination.
Reinforcement learning agents in Python (dynamic programming, temporal-difference, deep Q-learning, stochastic/deterministic policy gradients)
DiceUp is a collection of backgammon playing AI's.
Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.
Temporal difference learning for ultimate tic-tac-toe.
Implementation of several algorithms in RL based on Prof. sutton's book
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