Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning
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Updated
Mar 12, 2022 - Jupyter Notebook
Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning
Reversi game with multiple reinforcement learning algorithms.
This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.
Author's PyTorch implementation of TCD3 for OpenAI Gym continuous control tasks
Reinforcement learning in C++ using Eigen, OMP and more
Value function approximation RL algorithm in Pacman.
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