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Saurabh Kumar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Saurabh Kumar
7
papers ·
335
citations ·
15
h-index
Indian Institute of Management Indore
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Dopamine: A Research Framework for Deep Reinforcement Learning
2018 · 175 citations
Gradient Surgery for Multi-Task Learning
2020 · 108 citations
Statistics and Samples in Distributional Reinforcement Learning
2019 · 24 citations
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
2020 · 21 citations
Characterizing the Gap Between Actor-Critic and Policy Gradient
2021 · 5 citations
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
2017 · 2 citations
Satisficing Exploration for Deep Reinforcement Learning
2024
Top co-authors
Chelsea Finn
· 2
Marc G. Bellemare
· 2
Ramki Gummadi
· 2
Sergey Levine
· 2
Abhishek Gupta
· 1
Aviral Kumar
· 1
Benjamin Van Roy
· 1
Carles Gelada
· 1
Charles Isbell
· 1
Dale Schuurmans
· 1
Dilip Arumugam
· 1
Farhan Tejani
· 1
Topics
Value-Based
Meta-RL
Game AI
Exploration
Policy Gradient
Multi-Agent
Safe RL
Model-Based RL