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Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Li-Cheng Lan
Meng-Yu Tsai
Ti-Rong Wu
I-Chen Wu
Cho-Jui Hsieh
ArXiv (abs)PDFHTML

Papers citing "Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search"

4 / 4 papers shown
Title
A Bayesian Approach to Online Planning
A Bayesian Approach to Online Planning
Nir Greshler
David Ben-Eli
Carmel Rabinovitz
Gabi Guetta
Liran Gispan
Guy Zohar
Aviv Tamar
33
0
0
04 Jun 2024
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
Cedric Derstroff
Jannis Brugger
Johannes Czech
Mira Mezini
Stefan Kramer
Kristian Kersting
14
1
0
13 Feb 2024
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan
Huan Zhang
Ti-Rong Wu
Meng-Yu Tsai
I-Chen Wu
Cho-Jui Hsieh
AAML
75
11
0
07 Nov 2022
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Weirui Ye
Pieter Abbeel
Yang Gao
93
5
0
23 Oct 2022