Entropy-Guided Exploration in AlphaZero: Enhancing MCTS with Information Gain for Strategic Decision Making
Abstract
References
Index Terms
- Entropy-Guided Exploration in AlphaZero: Enhancing MCTS with Information Gain for Strategic Decision Making
Recommendations
A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games
AbstractSolving the optimization problem to approach a Nash Equilibrium point plays an important role in imperfect information games, e.g., StarCraft and poker. Neural Fictitious Self-Play (NFSP) is an effective algorithm that learns approximate Nash ...
Evolutionary learning of policies for MCTS simulations
FDG '12: Proceedings of the International Conference on the Foundations of Digital GamesMonte-Carlo Tree Search (MCTS) grows a partial game tree and uses a large number of random simulations to approximate the values of the nodes. It has proven effective in games with such as Go and Hex where the large search space and difficulty of ...
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games
RecSys '18: Proceedings of the 12th ACM Conference on Recommender SystemsMultiplayer Online Battle Arena (MOBA) games have received increasing popularity recently. In a match of such games, players compete in two teams of five, each controlling an in-game avatar, known as heroes, selected from a roster of more than 100. The ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 47Total Downloads
- Downloads (Last 12 months)47
- Downloads (Last 6 weeks)23
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderFull Text
View this article in Full Text.
Full TextHTML Format
View this article in HTML Format.
HTML Format