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Dinesh Jayaraman — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dinesh Jayaraman
30
papers ·
240
citations ·
24
h-index
University of Pennsylvania · Philadelphia University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Eureka: Human-Level Reward Design via Coding Large Language Models
2023 · 48 citations
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
2022 · 35 citations
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
2020 · 26 citations
LIV: Language-Image Representations and Rewards for Robotic Control
2023 · 24 citations
Conservative Offline Distributional Reinforcement Learning
2021 · 15 citations
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
2020 · 8 citations
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
2019 · 5 citations
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
2021 · 2 citations
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
2022 · 2 citations
Planning Goals for Exploration
2023 · 1 citations
Real-World Reinforcement Learning of Active Perception Behaviors
2025
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
2022
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
2023
Privileged Sensing Scaffolds Reinforcement Learning
2024
Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems
2024
Top co-authors
Osbert Bastani
· 7
Yecheng Jason Ma
· 7
Edward S. Hu
· 4
Oleh Rybkin
· 3
Chelsea Finn
· 2
Jason Yan
· 2
Sergey Levine
· 2
William Liang
· 2
Akshara Rai
· 1
Amy Zhang
· 1
Amy Zhang
· 1
Andrew Shen
· 1
Topics
Model-Based RL
Value-Based
Safe RL
Exploration
Policy Gradient
Offline RL
RLHF & Alignment
Game AI
Meta-RL