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Forest Agostinelli — most-cited papers & profile · Reinforcement Learning
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Forest Agostinelli
3
papers ·
18
citations ·
12
h-index
University of South Carolina
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Most-cited papers
Solving the Rubik's Cube Without Human Knowledge
2018 · 18 citations
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search
2026
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search
2025
Top co-authors
Alexander Shmakov
· 1
Gal Hadar
· 1
Pierre Baldi
· 1
Shahaf S. Shperberg
· 1
Stephen McAleer
· 1
Topics
Model-Based RL
Value-Based
Game AI
Exploration
Meta-RL