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Shipra Agrawal — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Shipra Agrawal
7
papers ·
98
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reinforcement Learning for Integer Programming: Learning to Cut
2019 · 54 citations
Exploration by Distributional Reinforcement Learning
2018 · 16 citations
Discretizing Continuous Action Space for On-Policy Optimization
2019 · 16 citations
Implicit Policy for Reinforcement Learning
2018 · 7 citations
Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management
2019 · 3 citations
Posterior sampling for reinforcement learning: worst-case regret bounds
2017 · 2 citations
Optimistic Q-learning for average reward and episodic reinforcement learning
2024
Top co-authors
Yunhao Tang
· 4
Randy Jia
· 2
Priyank Agrawal
· 1
Yuri Faenza
· 1
Topics
Exploration
Value-Based
Policy Gradient
cs.DS
math.OC
math.ST
Model-Based RL