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Main Authors:	Srikanth, Aadithya, Gaur, Mudit, Aggarwal, Vaneet
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.10854
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Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
by: Gaur, Mudit, et al.
Published: (2025)

On The Sample Complexity Bounds In Bilevel Reinforcement Learning
by: Gaur, Mudit, et al.
Published: (2025)

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
by: Gaur, Mudit, et al.
Published: (2024)

Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
by: Gaur, Mudit, et al.
Published: (2025)

Sample Complexity Analysis for Constrained Bilevel Reinforcement Learning
by: Saxena, Naman, et al.
Published: (2026)

Oracle-Robust Online Alignment for Large Language Models
by: Li, Zimeng, et al.
Published: (2026)

Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
by: Mondal, Washim Uddin, et al.
Published: (2023)

Sample-Efficient Constrained Reinforcement Learning with General Parameterization
by: Mondal, Washim Uddin, et al.
Published: (2024)

Stochastic Q-learning for Large Discrete Action Spaces
by: Fourati, Fares, et al.
Published: (2024)

$γ$-weakly $θ$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
by: Pedramfar, Mohammad, et al.
Published: (2026)

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
by: Moradipari, Ahmadreza, et al.
Published: (2023)

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs
by: Mondal, Washim Uddin, et al.
Published: (2024)

On The Global Convergence Of Online RLHF With Neural Parametrization
by: Gaur, Mudit, et al.
Published: (2024)

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
by: Aggarwal, Vaneet, et al.
Published: (2024)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)

Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
by: Pedramfar, Mohammad, et al.
Published: (2023)

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions
by: Chen, Jiayu, et al.
Published: (2024)

Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)

Variational Offline Multi-agent Skill Discovery
by: Chen, Jiayu, et al.
Published: (2024)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
by: Zhang, Jiefu, et al.
Published: (2026)

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
by: Bai, Qinbo, et al.
Published: (2024)

Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
by: Bai, Qinbo, et al.
Published: (2023)

BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)

Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
by: Malusare, Aditya, et al.
Published: (2025)

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
by: Bai, Qinbo, et al.
Published: (2021)

Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
by: Ganguly, Bhargav, et al.
Published: (2023)

A Unified Approach for Maximizing Continuous DR-submodular Functions
by: Pedramfar, Mohammad, et al.
Published: (2023)

ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
by: Fourati, Fares, et al.
Published: (2025)

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
by: Bai, Qinbo, et al.
Published: (2022)

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
by: Punyamoorty, Vineet, et al.
Published: (2024)

Stronger Approximation Guarantees for Non-Monotone γ-Weakly DR-Submodular Maximization
by: Jadav, Hareshkumar, et al.
Published: (2026)

Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
by: Ganesh, Swetha, et al.
Published: (2024)

Federated Combinatorial Multi-Agent Multi-Armed Bandits
by: Fourati, Fares, et al.
Published: (2024)

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
by: Xu, Yang, et al.
Published: (2025)

A Scalable Quantum Non-local Neural Network for Image Classification
by: Gupta, Sparsh, et al.
Published: (2024)

Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
by: Trivedi, Prashant, et al.
Published: (2025)

Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarking
by: Xu, Yang, et al.
Published: (2026)

Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
by: Fourati, Fares, et al.
Published: (2025)

Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)

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// 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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