Aravind Rajeswaran
Aravind Rajeswaran
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
A Rajeswaran, V Kumar, A Gupta, G Vezzani, J Schulman, E Todorov, ...
Robotics: Science and Systems (RSS), 2018
1502018
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
A Rajeswaran, S Ghotra, B Ravindran, S Levine
International Conference on Learning Representations (ICLR), 2017
1262017
Towards generalization and simplicity in continuous control
A Rajeswaran, K Lowrey, EV Todorov, SM Kakade
Advances in Neural Information Processing Systems, 6550-6561, 2017
1242017
Variance reduction for policy gradient with action-dependent factorized baselines
C Wu, A Rajeswaran, Y Duan, V Kumar, AM Bayen, S Kakade, I Mordatch, ...
International Conference on Learning Representations (ICLR), 2018
512018
Divide-and-conquer reinforcement learning
D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine
International Conference on Learning Representations (ICLR), 2018
432018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
K Lowrey, A Rajeswaran, S Kakade, E Todorov, I Mordatch
International Conference on Learning Representations (ICLR), 2019
342019
Identifying topology of low voltage distribution networks based on smart meter data
SJ Pappu, N Bhatt, R Pasumarthy, A Rajeswaran
IEEE Transactions on Smart Grid 9 (5), 5113-5122, 2017
322017
Online Meta-Learning
C Finn, A Rajeswaran, S Kakade, S Levine
International Conference on Machine Learning (ICML), 2019
312019
Dexterous manipulation with deep reinforcement learning: Efficient, general, and low-cost
H Zhu, A Gupta, A Rajeswaran, S Levine, V Kumar
International Conference on Robotics and Automation (ICRA), 2019
212019
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
K Lowrey, S Kolev, J Dao, A Rajeswaran, E Todorov
2018 IEEE International Conference on Simulation, Modeling, and Programming …, 2018
192018
Meta-learning with implicit gradients
A Rajeswaran, C Finn, SM Kakade, S Levine
Advances in Neural Information Processing Systems, 113-124, 2019
152019
A graph partitioning algorithm for leak detection in water distribution networks
A Rajeswaran, S Narasimhan, S Narasimhan
Computers & Chemical Engineering 108, 11-23, 2018
122018
A novel approach for phase identification in smart grids using graph theory and principal component analysis
A Rajeswaran, NP Bhatt, R Pasumarthy
2016 American Control Conference (ACC), 5026-5031, 2016
102016
Network topology identification using PCA and its graph theoretic interpretations
A Rajeswaran, S Narasimhan
arXiv preprint arXiv:1506.00438, 2015
82015
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation
D Jain, A Li, S Singhal, A Rajeswaran, V Kumar, E Todorov
2019 International Conference on Robotics and Automation (ICRA), 3636-3643, 2019
32019
A Novel Approach for Phase Identification in Smart Grids Using Graph Theory and Principal Component Analysis
PS Jayadev, A Rajeswaran, NP Bhatt, R Pasumarthy
arXiv preprint arXiv:1511.06063, 2015
12015
Lyceum: An efficient and scalable ecosystem for robot learning
C Summers, K Lowrey, A Rajeswaran, S Srinivasa, E Todorov
arXiv preprint arXiv:2001.07343, 2020
2020
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