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Aravind Rajeswaran — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Aravind Rajeswaran
28
papers ·
1157
citations ·
20
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Decision Transformer: Reinforcement Learning via Sequence Modeling
2021 · 465 citations
MOReL : Model-Based Offline Reinforcement Learning
2020 · 158 citations
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
2016 · 144 citations
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
2018 · 75 citations
COMBO: Conservative Offline Model-Based Policy Optimization
2021 · 52 citations
A Game Theoretic Framework for Model Based Reinforcement Learning
2020 · 44 citations
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
2018 · 19 citations
Offline Reinforcement Learning from Images with Latent Space Models
2020 · 16 citations
Divide-and-Conquer Reinforcement Learning
2017 · 13 citations
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
2022 · 12 citations
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
2018 · 9 citations
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
2021 · 9 citations
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
2022 · 8 citations
Visual Adversarial Imitation Learning using Variational Models
2021 · 5 citations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
2017 · 4 citations
Top co-authors
Pieter Abbeel
· 5
Sergey Levine
· 5
Chelsea Finn
· 3
Igor Mordatch
· 3
Rafael Rafailov
· 3
Tianhe Yu
· 3
Vikash Kumar
· 3
Aravind Srinivas
· 2
Emanuel Todorov
· 2
Michael Laskin
· 2
Michael Laskin
· 2
Nicklas Hansen
· 2
Topics
Model-Based RL
Offline RL
Exploration
Value-Based
Policy Gradient
Safe RL
Game AI
Meta-RL
Multi-Agent