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value-function-approximation

Here are 7 public repositories matching this topic...

MarioFiorino / Tutorial-Reinforcement-Learning-ITA-Python

In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.

reinforcement-learning openai-gym q-learning policy-gradient sarsa actor-critic ita proximal-policy-optimization tensorflow2 tutorial-italiano semi-gradient-sarsa value-function-approximation off-policy-monte-carlo programmazione-dinamica teoria-controllo-ottimale fondamenti-teorici-rl on-policy-first-visit-monte-carlo-control n-step-td

Updated Feb 15, 2025
Jupyter Notebook

uoe-agents / non_conventional_value_function_approximation

Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning

reinforcement-learning decision-trees gaussian-processes k-nearest-neighbours support-vector-regression value-function-approximation

Updated Mar 12, 2022
Jupyter Notebook

dstuemk / rlagent

Reinforcement learning in C++ using Eigen, OMP and more

reinforcement-learning multiprocessing value-function-approximation

Updated Dec 31, 2021
C++

klima7 / Reversi-RL

Reversi game with multiple reinforcement learning algorithms.

reinforcement-learning q-learning reversi mcts othello sarsa expected-sarsa sarsa-lambda double-q-learning value-itera value-function-approximation

Updated Nov 16, 2022
Python

pkyriakou / RL-reward-experiments

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.

python reinforcement-learning visualisation pytorch sarsa data-analysis convolutional-neural-networks asynchronous-methods deep-q-learning empirical-research reinforcement-learning-environments double-q-learning statistical-testing value-function-approximation return-formulations

Updated Sep 23, 2021
Jupyter Notebook

baturaysaglam / TCD3

Author's PyTorch implementation of TCD3 for OpenAI Gym continuous control tasks

deep-reinforcement-learning reinforcement-learning-algorithms actor-critic-with-experience-replay continuous-reinforcement-learning value-function-approximation

Updated Aug 11, 2022
Python

klima7 / Pacman-RL

Value function approximation RL algorithm in Pacman.

reinforcement-learning pacman value-function-approximation

Updated Jan 25, 2023
Python

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