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Bibliographic Details
Main Authors:	Zhou, Tianyue, Cho, Jung-Hoon, Wu, Cathy
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.08120
Tags:	Add Tag No Tags, Be the first to tag this record!

The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
by: Zhou, Tianyue, et al.
Published: (2024)

Expert with Clustering: Hierarchical Online Preference Learning Framework
by: Zhou, Tianyue, et al.
Published: (2024)

Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
by: Bang, Heeseung, et al.
Published: (2025)

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
by: Cho, Jung-Hoon, et al.
Published: (2023)

Cooperative Advisory Residual Policies for Congestion Mitigation
by: Hasan, Aamir, et al.
Published: (2024)

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
by: Jayawardana, Vindula, et al.
Published: (2024)

Learning-Augmented Search Data Structures
by: Fu, Chunkai, et al.
Published: (2024)

Learning Speed Adaptation for Flight in Clutter
by: Zhao, Guangyu, et al.
Published: (2024)

FedQV: Leveraging Quadratic Voting in Federated Learning
by: Chu, Tianyue, et al.
Published: (2024)

Contextual Intelligence The Next Leap for Reinforcement Learning
by: Biedenkapp, André
Published: (2026)

Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management
by: Singh, Prabhjot, et al.
Published: (2026)

Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks
by: Cho, Wonyong, et al.
Published: (2026)

Learning Where It Matters: Geometric Anchoring for Robust Preference Alignment
by: Cho, Youngjae, et al.
Published: (2026)

Self Paced Gaussian Contextual Reinforcement Learning
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)

Tighter Regret Bounds for Contextual Action-Set Reinforcement Learning
by: Chen, Zijun, et al.
Published: (2026)

Contextual Latent World Models for Offline Meta Reinforcement Learning
by: Nakheai, Mohammadreza, et al.
Published: (2026)

Contextual Learning for Anomaly Detection in Tabular Data
by: King, Spencer, et al.
Published: (2025)

Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)

Spiking Neural Network: a low power solution for physical layer authentication
by: Lee, Jung Hoon, et al.
Published: (2025)

Generalization ability and Vulnerabilities to adversarial perturbations: Two sides of the same coin
by: Lee, Jung Hoon, et al.
Published: (2022)

Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025)

Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback
by: Lee, Seong Jin, et al.
Published: (2024)

Contextual Bilevel Reinforcement Learning for Incentive Alignment
by: Thoma, Vinzenz, et al.
Published: (2024)

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems
by: Yang, Tianyue, et al.
Published: (2026)

Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
by: Yang, Tianyue, et al.
Published: (2026)

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
by: Cheng, Yuwei, et al.
Published: (2025)

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning
by: Azadani, Mitra Nasr, et al.
Published: (2026)

Disentangled Representation Learning via Modular Compositional Bias
by: Jung, Whie, et al.
Published: (2025)

Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
by: Ma, Sicheng, et al.
Published: (2026)

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)

Pessimistic Risk-Aware Policy Learning in Contextual Bandits
by: Wan, Yilong, et al.
Published: (2026)

Testing Stationarity and Change Point Detection in Reinforcement Learning
by: Li, Mengbing, et al.
Published: (2022)

Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
by: Kang, Yue, et al.
Published: (2023)

Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System
by: Sagong, Hoon, et al.
Published: (2025)

Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
by: Jung, Hee-Jun, et al.
Published: (2022)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
by: Yoo, Minjong, et al.
Published: (2024)

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
by: Cho, Minjae, et al.
Published: (2024)

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)

Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
by: Cho, Young Hyun, et al.
Published: (2026)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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