Programmatically Interpretable Reinforcement Learning Abhinav Verma 1 Vijayaraghavan Murali 1 Rishabh Singh 2 Pushmeet Kohli 3 Swarat Chaudhuri 1 Abstract

Source URL: rishabhmit.bitbucket.io

• Applied mathematics
• Computational neuroscience
• Machine learning
• Artificial intelligence
• Cybernetics
• Machine learning algorithms
• Artificial neural networks
• Reinforcement learning
• Outline of machine learning
• Markov decision process
• Deep learning
• Algorithm

Semi-Markov State Estimation and Policy Optimization for Energy Efficient Mobile Sensing Yi Wang, Bhaskar Krishnamachari, Murali Annavaram Viterbi School of Engineering, University of Southern California, Los Angeles, CA

Source URL: anrg.usc.edu

SOME PROBLEMS MOTIVATED BY THE NOTION OF THRESHOLD GRAPHS MURALI K. SRINIVASAN Abstract. We motivate and discuss four open problems in polyhedral combinatorics related to threshold graphs, degree sequences of graphs and

Source URL: www.math.iitb.ac.in

THE CONE OF BALANCED SUBGRAPHS AMITAVA BHATTACHARYA, URI N. PELED, AND MURALI K. SRINIVASAN Dedicated to the memory of Malka Peled Abstract. In this paper we study a 2-color analog of the cycle cone of a graph. Suppose t

Source URL: www.math.iitb.ac.in

DEMO: CIRCE – A runtime scheduler for DAG-based dispersed computing Aleksandra Knezevic, Quynh Nguyen, Jason A. Tran, Pradipta Ghosh, Pranav Sakulkar, Bhaskar Krishnamachari and Murali Annavaram [aleksank,quynhngu,jaso

Source URL: anrg.usc.edu

Lourdes Figueroa Grauer School Advisor: P. Young Rohan Murali Nazareth School

Source URL: www.gsdsef.org

Protocol verification using flows: An industrial experience John O’Leary Murali Talupur

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WebQ: A Virtual Queue For Improving User Experience During Web Server Overload Murali Suresh*, Ravi Shankar Mondal*, Stanly Thomas*, Mythili Vutukuru Department of Computer Science and Engineering, Indian Institute of Te

Source URL: www.cse.iitb.ac.in

Symmetric chains, Gelfand-Tsetlin chains, and the Terwilliger algebra of the binary Hamming scheme Murali K. Srinivasan Department of Mathematics Indian Institute of Technology, Bombay Powai, Mumbai, INDIA

Source URL: www.math.iitb.ac.in

A positive combinatorial formula for the complexity of the q-analog of the n-cube Murali K. Srinivasan Department of Mathematics Indian Institute of Technology, Bombay Powai, Mumbai, INDIA

Source URL: www.math.iitb.ac.in