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Warm-Start AlphaZero Self-Play Search Enhancements

Warm-Start AlphaZero Self-Play Search Enhancements

Parallel Problem Solving from Nature (PPSN), 2020
26 April 2020
Haibo Wang
Mike Preuss
Aske Plaat
ArXiv (abs)PDFHTML

Papers citing "Warm-Start AlphaZero Self-Play Search Enhancements"

5 / 5 papers shown
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local
  Search
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local SearchLearning and Intelligent Optimization (LION), 2023
Hui Wang
Abdallah Saffidine
Tristan Cazenave
100
1
0
26 Feb 2023
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at
  Test Time
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test TimeIEEE Transactions on Games (IEEE Trans. Games), 2022
Johann Scheiermann
W. Konen
140
9
0
28 Apr 2022
AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully
  Trained AlphaZero System to a Suitable Human Training Partner
AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training PartnerPeerJ Computer Science (PeerJ Comput. Sci.), 2021
Kazuhisa Fujita
214
6
0
11 Nov 2021
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement LearningPacific Rim International Conference on Artificial Intelligence (PRICAI), 2021
Hui Wang
Mike Preuss
Aske Plaat
AI4CE
155
12
0
13 May 2021
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward
  Reinforcement Learning
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement LearningSymposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2020
Hui Wang
Mike Preuss
M. Emmerich
Aske Plaat
LRM
193
9
0
14 Jun 2020
1