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Pulkit Agrawal — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pulkit Agrawal
46
papers ·
347
citations ·
30
h-index
University of California San Diego · Massachusetts Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Learning to Perform Physics Experiments via Deep Reinforcement Learning
2016 · 55 citations
DribbleBot: Dynamic Legged Manipulation in the Wild
2023 · 43 citations
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
2019 · 21 citations
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
2020 · 21 citations
Redeeming Intrinsic Rewards via Constrained Optimization
2022 · 11 citations
Rapid Locomotion via Reinforcement Learning
2022 · 6 citations
Offline RL Policies Should be Trained to be Adaptive
2022 · 4 citations
Bilinear value networks
2022 · 3 citations
Distributionally Adaptive Meta Reinforcement Learning
2022 · 2 citations
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
2022 · 2 citations
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
2023 · 2 citations
Overcoming the Spectral Bias of Neural Value Approximation
2022 · 1 citations
Self-Supervised Reinforcement Learning that Transfers using Random Features
2023 · 1 citations
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
2023 · 1 citations
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
2023 · 1 citations
Top co-authors
Zhang-Wei Hong
· 8
Anurag Ajay
· 6
Abhishek Gupta
· 5
Gabriel B. Margolis
· 4
Joni Pajarinen
· 3
Sergey Levine
· 3
Tao Chen
· 3
Akash Srivastava
· 2
Aviral Kumar
· 2
Dibya Ghosh
· 2
Ge Yang
· 2
Idan Shenfeld
· 2
Topics
Model-Based RL
Policy Gradient
Exploration
Meta-RL
Offline RL
Value-Based
Safe RL
RLHF & Alignment
Multi-Agent
Game AI