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• Symmetry Learning for Function Approximation in Reinforcement Learning
  2017 · 9 citations
• Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
  2020 · 4 citations
• Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes
  2016 · 3 citations
• Thompson Sampling for a Fatigue-aware Online Recommendation System
  2019 · 3 citations
• Faster Reinforcement Learning Using Active Simulators
  2017 · 2 citations
• MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models
  2025
• Efficient Reinforcement Learning via Initial Pure Exploration
  2017
• KATRec: Knowledge Aware aTtentive Sequential Recommendations
  2020
• Choice-Aware User Engagement Modeling andOptimization on Social Media
  2021
• Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
  2024
• InteraRec: Screenshot Based Recommendations Using Multimodal Large Language Models
  2024
• CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
  2024