Reinforcment learning for text-based environments using a ddqn algorithm
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Updated
Aug 10, 2020 - C
Reinforcment learning for text-based environments using a ddqn algorithm
Implementation of STAR from the paper "Reconciling Spatial and Temporal Abstractions for Goal Representation" (ICLR 2024)
NeverCruncher AI - Bot that solves Neverball levels using Reinforced Learning.
K-armed bandit problem approached with a variety of action-selection learning algorithms.
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.
Submissions as part of COMPSCI 603 - Robotics
Snake learns to survive using reinforcement learning.
A prototype implementation of Bao for PostgreSQL
Reinforcement Learning in the Lego Mindstorms NXT Robot
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…
QL-TSCH protocol implementation based on the specifications described in the research paper
Using a neural network to imitate model predictive control
Monorepo for our CV&RL course project: self parking
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