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Vaneet Aggarwal

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

17

papers

126

total citations

papers (17)

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates

NEURIPS 2023arXiv

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs

NEURIPS 2022arXiv

Domain Adaptive Few-Shot Open-Set Learning

Combinatorial Stochastic-Greedy Bandit

Stochastic Q-learning for Large Discrete Action Spaces

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

NEURIPS 2025arXiv

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

NEURIPS 2023arXiv

Federated Combinatorial Multi-Agent Multi-Armed Bandits

A Unified Approach for Maximizing Continuous DR-submodular Functions

NEURIPS 2023arXiv

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning

NEURIPS 2023arXiv

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

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

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

NEURIPS 2025arXiv

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

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

NEURIPS 2025arXiv

Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization

PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning