Reinforcement-Learning-F22

AI-Agent-Assistant

💡| Assistant Telegram bot using Deep Reinforcement Learning and Neural Networks

DoublePendulum

This is about make a RL agent to do the control of double pendulum and achieve the swing up and balancing problem.

Drone-landing

Autonomous Drone Landing using Deep Reinforcement Learning Techniques

Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps

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.

HyParamOptRL

Optimization hyperparameters of models using reinforcement learning

Operational-time-scheduling-for-smart-home-appliances

RL-trading-agent

A course project for "Reinforcement Learning and Intelligent Agents". Akhmetzhanov Ravil & Otobong Jerome

RobotNavigation

This RL project aims to make robot navigate from start to an end goal. Two cases for continuous and discrete action spaces are implemented.

Single-Agent-Renforcement-Learning-resource-finding

Single Agent Renforcement Learning resource finding in grid world representation using Oil field example

Traffic-Signal-Control-using-Deep-Q-Learning

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/Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps

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/AI-Agent-Assistant

💡| Assistant Telegram bot using Deep Reinforcement Learning and Neural Networks

Reinforcement-Learning-F22/HyParamOptRL

Optimization hyperparameters of models using reinforcement learning

Reinforcement-Learning-F22/RL-trading-agent

A course project for "Reinforcement Learning and Intelligent Agents". Akhmetzhanov Ravil & Otobong Jerome

Reinforcement-Learning-F22/RobotNavigation

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/DoublePendulum

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/Drone-landing

Autonomous Drone Landing using Deep Reinforcement Learning Techniques

Reinforcement-Learning-F22/Traffic-Signal-Control-using-Deep-Q-Learning

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/Offloading_Optimization_in_Edge_Environment

Reinforcement-Learning-F22/Operational-time-scheduling-for-smart-home-appliances

Reinforcement-Learning-F22/Single-Agent-Renforcement-Learning-resource-finding

Single Agent Renforcement Learning resource finding in grid world representation using Oil field example