K-armed bandit problem approached with a variety of action-selection learning algorithms.
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Updated
Dec 9, 2020 - C
K-armed bandit problem approached with a variety of action-selection learning algorithms.
Implementation of Dyna-Q with priority sweeping on a basic n by n gridworld
A prototype implementation of Bao for PostgreSQL
Implementation of 10 Arm Bandit using RLGlue
Machine Learning by State Exploration - An implementation of Michie's BOXES algorithm, popularized by Martin Gardner in March 1962 and used by Fred Saberhagen in the story "Without A Thought" in 1963. Very simply, BOXES creates a set of STATEs that map onto the visible attributes of the system being interacted with, and selects one of the ACTION…
QL-TSCH Scheduling Protocols for TSCH - changed files of Contiki-NG
Autonomous 1:10 race car with a reinforcement learning based approach
Implementation of a short path finder using Q learning in C language
Swift module for Arcade Learning Environment library.
Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
Invariant Generation modulo opaue operations
Reinforcement learning applied to Bagh Chal board game, via OpenAI's Gym toolkit
Reinforcement learning console based PacMan Game
QL-TSCH protocol implementation based on the specifications described in the research paper
Machine learning methods and image processing were utilized to determine whether a surface contains a deformity. Through the development of a C++ program to generate surface deformities given image length, width, maximum deformity radius, and sample size as the training set, we utilize machine learning classifiers, namely Convolution Neural Netw…
Projet IAR master 2 ANDROIDE : 2021 - 2022 Projet d'introduction au méta reinforcement learning codé en Python
a C framework including Multi-player Multi-armed bandit (MP-MAB) algorithms applied to IoT network and a LoRa network simulator
Project for Real-Time Systems class (MSc Robotics Engineering)
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