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• Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
  2018 · 24 citations
• Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
  2020 · 19 citations
• A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
  2019 · 13 citations
• An ADMM Based Framework for AutoML Pipeline Configuration
  2019 · 10 citations
• Situation-Aware Approach to Improve Context-based Recommender System
  2013 · 6 citations
• Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior
  2020 · 4 citations
• Interpolating Item and User Fairness in Multi-Sided Recommendations
  2023 · 4 citations
• Optimizing an Utility Function for Exploration / Exploitation Trade-off in Context-Aware Recommender System
  2013 · 3 citations
• Improving adaptation of ubiquitous recommander systems by using reinforcement learning and collaborative filtering
  2013 · 3 citations
• The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems
  2013 · 2 citations
• R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems
  2014 · 2 citations
• Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
  2021
• Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics
  2023