Search
Skip to Search Results
Filter
Subject / Keyword
- 19Planning
- 5Reinforcement Learning
- 4Heuristic Search
- 4Scheduling
- 3Artificial Intelligence
- 2Broadcast
Item type
Author / Creator / Contributor
- 1Abdeyazdan, Zohreh
- 1Asadi Atui, Kavosh
- 1Brown, Jennifer A.
- 1Faid, Julian TW
- 1Fan, Gaojian
- 1Jabbari Arfaee, Shahab
Year
Collections
Languages
-
Spring 2023
AlphaZero is a self-play reinforcement learning algorithm that achieves superhuman play in the games of chess, shogi, and Go via policy iteration. To be an effective policy improvement operator, AlphaZero’s search needs to have accurate value estimates for the states that appear in its search...
-
Fall 2019
In this thesis, we study merge-and-shrink (M&S), a flexible abstraction technique for generating heuristics for cost optimal planning. We first propose three novel merging strategies for M&S, namely, Undirected Min-Cut (UMC), Maximum Intermediate Abstraction Size Minimizing (MIASM), and Dynamic...
21 - 22 of 22