User Guest viewing Subject Deep-Reinforcement Learning and Topic Markov Decision Process
Total Q&A found : 5
Displaying Q&A: 1 to 1 (20 %)
QNo. 1: What is a Markov Decision Process? Markov Process Deep-Reinforcement Learning test7305_Mar Easy(Level: Easy)
[newsno: 2894]-[pix: test7305_Mar.jpg]
about 0 Mins, 37 Secs read
---EZMCQ Online Courses---
---EZMCQ Online Courses---
Expandable List
Definition Overview
States describe environment conditions
Actions represent agent choices
Rewards quantify agent performance
Core Components
Transition probabilities between states
Reward function guides learning
Discount factor evaluates future rewards
Decision Process
Agent selects optimal actions
Environment updates next states
Policy maps states to actions
Markov Property
Future depends on present
Past has no effect
State summarizes necessary information
Applications DRL
Robotics navigation and control
Game AI decision-making tasks
Autonomous driving simulations
Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim
