Reinforcement-Learning-F22
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Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps
Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps PublicUsing Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, …
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AI-Agent-Assistant
AI-Agent-Assistant Publicđź’ˇ| Assistant Telegram bot using Deep Reinforcement Learning and Neural Networks
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RobotNavigation
RobotNavigation PublicThis RL project aims to make robot navigate from start to an end goal. Two cases for continuous and discrete action spaces are implemented.
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RL-trading-agent
RL-trading-agent PublicA course project for "Reinforcement Learning and Intelligent Agents". Akhmetzhanov Ravil & Otobong Jerome
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HyParamOptRL
HyParamOptRL PublicOptimization hyperparameters of models using reinforcement learning
Jupyter Notebook 2
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Drone-landing
Drone-landing PublicAutonomous Drone Landing using Deep Reinforcement Learning Techniques
Python 1
Repositories
- DoublePendulum Public
This is about make a RL agent to do the control of double pendulum and achieve the swing up and balancing problem.
Reinforcement-Learning-F22/DoublePendulum’s past year of commit activity - Traffic-Signal-Control-using-Deep-Q-Learning Public
This repository shows a traffic flow optimization by controlling the traffic light signal at the intersection using deep Q-learning with experience replay.
Reinforcement-Learning-F22/Traffic-Signal-Control-using-Deep-Q-Learning’s past year of commit activity - AI-Agent-Assistant Public
đź’ˇ| Assistant Telegram bot using Deep Reinforcement Learning and Neural Networks
Reinforcement-Learning-F22/AI-Agent-Assistant’s past year of commit activity - Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps Public
Using Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, and cheese are compared.
Reinforcement-Learning-F22/Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps’s past year of commit activity - RobotNavigation Public
This RL project aims to make robot navigate from start to an end goal. Two cases for continuous and discrete action spaces are implemented.
Reinforcement-Learning-F22/RobotNavigation’s past year of commit activity - Single-Agent-Renforcement-Learning-resource-finding Public
Single Agent Renforcement Learning resource finding in grid world representation using Oil field example
Reinforcement-Learning-F22/Single-Agent-Renforcement-Learning-resource-finding’s past year of commit activity
