Events trigger on-the-fly LoRA module generation via hypernetworks over a shared team policy in MARL, paired with a Neural Manifold Diversity metric, enabling sequential role reassignment while preserving reward maximization.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Basic dataset creation, embedding learning, and evaluation tasks on Kuhn and Leduc Poker demonstrate that useful behavioral representations appear in the learned embeddings.
Reproducibility study confirms Hypencoder's non-linear query-specific scoring improves retrieval over bi-encoders on standard benchmarks but standard methods remain faster and hard-task results are mixed due to implementation issues.
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Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
Events trigger on-the-fly LoRA module generation via hypernetworks over a shared team policy in MARL, paired with a Neural Manifold Diversity metric, enabling sequential role reassignment while preserving reward maximization.
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Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games
Basic dataset creation, embedding learning, and evaluation tasks on Kuhn and Leduc Poker demonstrate that useful behavioral representations appear in the learned embeddings.
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Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval
Reproducibility study confirms Hypencoder's non-linear query-specific scoring improves retrieval over bi-encoders on standard benchmarks but standard methods remain faster and hard-task results are mixed due to implementation issues.