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Akshay Krishnamurthy โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Akshay Krishnamurthy
34
papers ยท
772
citations ยท
26
h-index
Microsoft (United States) ยท Microsoft Research New York City (United States)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
2017 ยท 358 citations
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
2016 ยท 153 citations
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
2019 ยท 54 citations
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
2020 ยท 36 citations
Reward-Free Exploration for Reinforcement Learning
2020 ยท 26 citations
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
2016 ยท 24 citations
On Oracle-Efficient PAC RL with Rich Observations
2018 ยท 20 citations
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches
2018 ยท 17 citations
PAC Reinforcement Learning with Rich Observations
2016 ยท 14 citations
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
2019 ยท 13 citations
Model-free Representation Learning and Exploration in Low-rank MDPs
2021 ยท 12 citations
Model selection for contextual bandits
2019 ยท 10 citations
Private Reinforcement Learning with PAC and Regret Guarantees
2020 ยท 8 citations
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
2020 ยท 7 citations
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
2022 ยท 7 citations
Top co-authors
Alekh Agarwal
ยท 9
Dylan J. Foster
ยท 9
John Langford
ยท 7
Nan Jiang
ยท 4
Ayush Sekhari
ยท 3
Chi Jin
ยท 3
Dipendra Misra
ยท 3
Philip Amortila
ยท 3
Robert E. Schapire
ยท 3
Sham Kakade
ยท 3
Yonathan Efroni
ยท 3
Aditya Modi
ยท 2
Topics
Exploration
Model-Based RL
Value-Based
RLHF & Alignment
Offline RL
Policy Gradient
Meta-RL
Game AI
Safe RL