Topic: "mdp-framework"
ChaitanyaC22/Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3
yossidoctor/AI-Traffic-Lights-Controller
Using reinforcement learning and genetic algorithms to improve traffic flow and reduce vehicle waiting times in a single-lane two-way junction simulator by coordinating traffic signal schedules.
Language: Python - Size: 19.3 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 5
ChaitanyaC22/Numerical_TicTacToe_Agent_using_Reinforcement_Learning
Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.
Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1