Intervention on a fixed-size recurrent state enables contextual control in sequential decisions without memory growth or direct context input.
Littman, and Anthony R
4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4representative citing papers
Action-conditioned near-term risk prediction gates optimistic and conservative value estimates in RL to approximate risk-sensitive POMDP control, yielding better safety-performance tradeoffs with lower runtime than belief planning baselines.
Sequential quantum state discrimination is cast as a POMDP with regular-grid discretization, subsuming one-shot minimum-error discrimination, with error bounds, complexity analysis, and examples for binary and trine states.
Autonomous controllers cannot remove decision risk from target components absent from their pre-action physical records; closing that gap requires expanded access, cost, or restricted deployment.
citing papers explorer
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Contextual Control without Memory Growth in a Context-Switching Task
Intervention on a fixed-size recurrent state enables contextual control in sequential decisions without memory growth or direct context input.
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Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Action-conditioned near-term risk prediction gates optimistic and conservative value estimates in RL to approximate risk-sensitive POMDP control, yielding better safety-performance tradeoffs with lower runtime than belief planning baselines.
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Projected Dynamic Programming for Sequential Quantum State Discrimination
Sequential quantum state discrimination is cast as a POMDP with regular-grid discretization, subsuming one-shot minimum-error discrimination, with error bounds, complexity analysis, and examples for binary and trine states.
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Measurement-Access Risk Frontiers for Autonomous Scientific Control
Autonomous controllers cannot remove decision risk from target components absent from their pre-action physical records; closing that gap requires expanded access, cost, or restricted deployment.