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References (28)

[1]
MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games
2023Ti-Rong Wu, Hung Guei et al.
[2]
Targeted Search Control in AlphaZero for Effective Policy Improvement
2023Alexandre Trudeau, Michael H. Bowling
[3]
Meta-Reinforcement Learning via Exploratory Task Clustering
2023Zhendong Chu, Hongning Wang
[4]
Expediting Self-Play Learning in AlphaZero-Style Game-Playing Agents
2023Y. Björnsson, R. Jónsson et al.
[5]
Few-Shot Preference Learning for Human-in-the-Loop RL
2022Joey Hejna, Dorsa Sadigh
[6]
Jump-Start Reinforcement Learning
2022Ikechukwu Uchendu, Ted Xiao et al.
[7]
Evolving Curricula with Regret-Based Environment Design
2022Jack Parker-Holder, Minqi Jiang et al.
[8]
Planning in Stochastic Environments with a Learned Model
2022Ioannis Antonoglou, Julian Schrittwieser et al.
[9]
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
2021Pedro Tsividis, J. Loula et al.
[10]
Learning and Planning in Complex Action Spaces
2021T. Hubert, Julian Schrittwieser et al.
[11]
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
2020Michael Dennis, Natasha Jaques et al.
[12]
Prioritized Level Replay
2020Minqi Jiang, Edward Grefenstette et al.
[13]
Exploring Restart Distributions.
2020Arash Tavakoli, Vitaly Levdik et al.
[14]
First return, then explore
2020Adrien Ecoffet, Joost Huizinga et al.
[15]
Mastering Atari, Go, chess and shogi by planning with a learned model
2019Julian Schrittwieser, Ioannis Antonoglou et al.
[16]
Ludii - The Ludemic General Game System
2019Éric Piette, D. Soemers et al.
[17]
Accelerating Self-Play Learning in Go
2019David J. Wu
[18]
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
2018David Silver, T. Hubert et al.
[19]
Unsupervised Meta-Learning for Reinforcement Learning
2018Abhishek Gupta, Benjamin Eysenbach et al.
[20]
Mastering the game of Go without human knowledge
2017David Silver, Julian Schrittwieser et al.

Showing 20 of 28 references

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"Enhance AlphaZero's learning efficiency with Regret-Guided Search Control for improved gaming AI performance."

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