Vaneet Aggarwal

Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access

Hierarchical Deep Counterfactual Regret Minimization

Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning

GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow

Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach

Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm

On the Sample Complexity Bounds of Bilevel Reinforcement Learning

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach

Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes

On the Global Convergence of RLHF Based Alignment With Neural Parametrization

Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization