HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

arXiv:2608.29563 · cs.LG, cs.AI, cs.HC · Submitted 2026-08-30 · Read on arXiv

cs.LG, cs.AI, cs.HC

Submitted: 2026-08-30

Updated: 2026-08-30

Comments: 5 pages, 5 figures, 2 tables, 2 algorithms. Submitted to the IEEE ICDM 2026 Teen Research Symposium. Code and live demo: https://github.com/sujo666/hoopmind

Code: https://github.com/sujo666/hoopmind

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 6× in this paper · explained in 1 episode
• Pruning — 6× in this paper · explained in 4 episodes
• AUC — 4× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Steering — 3× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

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