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Deepak Pathak — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Deepak Pathak
24
papers ·
711
citations ·
30
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Large-Scale Study of Curiosity-Driven Learning
2018 · 367 citations
Planning to Explore via Self-Supervised World Models
2020 · 61 citations
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
2020 · 26 citations
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
2022 · 26 citations
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
2021 · 25 citations
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
2021 · 24 citations
Neural Dynamic Policies for End-to-End Sensorimotor Learning
2020 · 9 citations
Functional Regularization for Reinforcement Learning via Learned Fourier Features
2021 · 1 citations
Maximizing Confidence Alone Improves Reasoning
2025
SAPG: Split and Aggregate Policy Gradients
2024
Continuously Improving Mobile Manipulation with Autonomous Real-World RL
2024
Top co-authors
Igor Mordatch
· 2
Pieter Abbeel
· 2
Wenlong Huang
· 2
Abhinav Gupta
· 1
Alexander C. Li
· 1
Alexei A. Efros
· 1
Alex Ippoliti
· 1
Amos Storkey
· 1
Ananye Agarwal
· 1
Bernadette Bucher
· 1
Danijar Hafner
· 1
Emmanuel Panov
· 1
Topics
Model-Based RL
Exploration
Meta-RL
Policy Gradient
Multi-Agent
RLHF & Alignment
Game AI
Value-Based