Reinforcement-Learning-F22's repositories
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.
AI-Agent-Assistant
đź’ˇ| Assistant Telegram bot using Deep Reinforcement Learning and Neural Networks
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.
HyParamOptRL
Optimization hyperparameters of models using reinforcement learning
RL-trading-agent
A course project for "Reinforcement Learning and Intelligent Agents". Akhmetzhanov Ravil & Otobong Jerome
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
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.
Single-Agent-Renforcement-Learning-resource-finding
Single Agent Renforcement Learning resource finding in grid world representation using Oil field example