Publications

Accepted

  • Towards Generalization and Simplicity in Continuous Control
    Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham Kakade
    Neural Information Processing Systems (NIPS) 2017; arxiv:1703.02660

  • EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
    Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran, Sergey Levine
    International Conference on Learning Representations (ICLR) 2017; arxiv:1610.01283

  • A Novel Approach for Phase Identification in Smart Grids Using Graph Theory
    and Principal Component Analysis

    Satya Jayadev P, Aravind Rajeswaran, Nirav P Bhatt, Ramkrishna Pasumarthy
    American Control Conference (ACC) 2016; arxiv:1511.06063

  • Identifying Topology of Power Distribution Networks Based on Smart Meter Data
    co-authored with Satya Jayadev, Nirav Bhatt, Ramkrishna Pasumarthy
    IEEE Transactions on Smart Grid 2017; arxiv:1609.02678

  • A Graph Partitioning Approach for Leak Detection in Water Distribution Networks
    Aravind Rajeswaran, Sridharakumar Narasimhan, Shankar Narasimhan
    Computers & Chemical Engineering (C&ChE) 2017; arxiv:1606.01754

Preprints

  • Learning Complex Dexterous Manipulation with Deep Reinforcement
    Learning and Demonstrations

    Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman,
    Emanuel Todorov, Sergey Levine
    arXiv preprint: arxiv:1709.10087

  • Divide-and-Conquer Reinforcement Learning
    Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
    arXiv preprint: arXiv:1711.09874

  • Network Topology Identification using PCA and its Graph Theoretic Interpretations
    Aravind Rajeswaran, Shankar Narasimhan
    arXiv preprint: arxiv:1506.00438v2