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Milind Tambe — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Milind Tambe
22
papers ·
32
citations ·
75
h-index
Google (United States) · Harvard University · Harvard University Press · Google DeepMind (United Kingdom) · Tatyasaheb Kore Dental College and Research Centre
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Most-cited papers
Robust Reinforcement Learning Under Minimax Regret for Green Security
2021 · 8 citations
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
2024 · 7 citations
Efficient Reservoir Management through Deep Reinforcement Learning
2020 · 5 citations
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
2020 · 4 citations
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
2021 · 2 citations
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
2021 · 2 citations
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
2021 · 1 citations
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
2023 · 1 citations
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
2024 · 1 citations
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
2025
Reinforcement learning with combinatorial actions for coupled restless bandits
2025
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
2025
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
2025
Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
2025
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
2019
Top co-authors
Aparna Taneja
· 4
Haipeng Chen
· 4
Lily Xu
· 4
Andrew Perrault
· 3
Edwin Zhang
· 3
Lingkai Kong
· 3
Bo An
· 2
Bryan Wilder
· 2
Dheeraj Nagaraj
· 2
Finale Doshi-Velez
· 2
Guojun Xiong
· 2
Haichuan Wang
· 2
Topics
Model-Based RL
Multi-Agent
Value-Based
Safe RL
RLHF & Alignment
Policy Gradient
Offline RL
Exploration
Game AI
Meta-RL