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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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1 result for “player-centered”

Final Adaptation Reinforcement Learning for N-Player Gamescs.LG

New algorithms for n-player games using a player-centered approach.

problem Learning near-perfect strategies in multiplayer games.

method Player-centered reinforcement learning with Final Adaptation RL.

result FARL is crucial for achieving near-perfect strategies in various games.

reinforcement learning multiplayer games player-centered Final Adaptation RL near-perfect strategies

2021-11-29abs ↗pdf ↗