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Gaurav S. Sukhatme — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gaurav S. Sukhatme
22
papers ·
106
citations ·
80
h-index
University of Southern California · California Southern University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Interactive Differentiable Simulation
2019 · 35 citations
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
2020 · 15 citations
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
2022 · 6 citations
A Solution to Time-Varying Markov Decision Processes
2016 · 4 citations
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
2023 · 4 citations
Generating Behaviorally Diverse Policies with Latent Diffusion Models
2023 · 3 citations
Plan-Space State Embeddings for Improved Reinforcement Learning
2020 · 1 citations
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
2021 · 1 citations
Adaptive Sampling using POMDPs with Domain-Specific Considerations
2021
Efficiently Learning Small Policies for Locomotion and Manipulation
2022
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
2023
HyperPPO: A scalable method for finding small policies for robotic control
2023
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
2023
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
2024
Top co-authors
Sumeet Batra
· 4
Zhehui Huang
· 4
Shashank Hegde
· 3
Gautam Salhotra
· 2
Joseph J. Lim
· 2
Max Pflueger
· 2
Peter Englert
· 2
Rahul Krupani
· 2
Youngwoon Lee
· 2
Zhaojing Yang
· 2
Aleksei Petrenko
· 1
Artem Molchanov
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Safe RL
Meta-RL
Multi-Agent
Offline RL