Learn Before
Reinforcement Learning Refrence and Cutting-edge Ideas
(Encourage to continuously enrich and edit this node for sharing papers and their proposed useful ideas.) 1.Learning Action Representations for Reinforcement Learning Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
0
1
Tags
Data Science
Related
Reinforcement Learning Example - Autonomous Vehicles
Reinforcement Learning Analogy - Video Games
Machine Learning for Absolute Beginners
Deep Learning vs. Reinforcement Learning
Fundamental Concepts for Reinforcement Learning
Reinforcement Learning Refrence and Cutting-edge Ideas
A team is developing a program to play a complex board game against human opponents. The program has no pre-existing data of past games to learn from. Instead, it is designed to learn by playing against itself repeatedly. After each game, the program receives a positive signal if it wins and a negative signal if it loses. Over time, it is expected to discover winning strategies on its own. Which of the following statements best analyzes why this learning approach is suitable for this task?
Robot Maze Navigation Strategy
Evaluating Learning Strategies for a Recommendation System