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
Value function approximation RL algorithm in Pacman.
Reinforcement learning in C++ using Eigen, OMP and more
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