Rahul Singh

79 papers A* 8A 1B 5Misc 1Journal 50Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning.
AAAI
Avik Kar, Rahul Singh
2025 J jnl
Delay-Optimal Transmission Scheduling Policies for Time-Correlated Fading Channels.
CoRR
Manali Dutta, Gourav Saha, Rahul Singh, Ness B. Shroff
2025 A conf
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces.
UAI
Avik Kar, Rahul Singh
2024 J jnl
Adaptive Discretization-based Non-Episodic Reinforcement Learning in Metric Spaces.
CoRR
Avik Kar, Rahul Singh
2024 A* conf
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation.
ICML
Rahul Singh, Akshay Mete, Avik Kar, Panganamala R. Kumar
2024 J jnl
Linear Bandits With Side Observations on Networks.
IEEE/ACM Trans. Netw.
Avik Kar, Rahul Singh, Fang Liu, Xin Liu, Ness B. Shroff
2024 J jnl
Multi-armed bandits with dependent arms.
Mach. Learn.
Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff
2024 J jnl
Optimal Risk-Sensitive Scheduling Policies for Remote Estimation of Autoregressive Markov Processes.
IEEE Control. Syst. Lett.
Manali Dutta, Rahul Singh
2024 J jnl
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces.
CoRR
Avik Kar, Rahul Singh
2024 J jnl
Whittle Index-Based Q-Learning for Wireless Edge Caching With Linear Function Approximation.
IEEE/ACM Trans. Netw.
Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh
2023 J jnl
Delay-Optimal Scheduling for Integrated mmWave - Sub-6 GHz Systems With Markovian Blockage Model.
IEEE Trans. Mob. Comput.
Guidan Yao, Morteza Hashemi, Rahul Singh, Ness B. Shroff
2023 J jnl
Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs.
CoRR
Rahul Singh, Akshay Mete, Avik Kar, P. R. Kumar
2023 J jnl
Learning in Constrained Markov Decision Processes.
IEEE Trans. Control. Netw. Syst.
Rahul Singh, Abhishek Gupta, Ness B. Shroff
2023 — conf
The Reward Biased Method: An Optimism based Approach for Reinforcement Learning.
Allerton
Akshay Mete, Rahul Singh, P. R. Kumar
2022 A* conf
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems.
NeurIPS
Akshay Mete, Rahul Singh, P. R. Kumar
2022 J jnl
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems.
CoRR
Akshay Mete, Rahul Singh, P. R. Kumar
2022 B conf
Index-aware reinforcement learning for adaptive video streaming at the wireless edge.
MobiHoc
Guojun Xiong, Xudong Qin, Bin Li, Rahul Singh, Jian Li
2022 J jnl
Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits.
CoRR
Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh
2022 A* conf
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits.
AAAI
Guojun Xiong, Jian Li, Rahul Singh
2022 Misc conf
The RBMLE method for Reinforcement Learning.
CISS
Akshay Mete, Rahul Singh, P. R. Kumar
2021 J jnl
Adaptive CSMA for Decentralized Scheduling of Multi-Hop Networks With End-to-End Deadline Constraints.
IEEE/ACM Trans. Netw.
Rahul Singh, P. R. Kumar
2021 J jnl
Learning Augmented Index Policy for Optimal Service Placement at the Network Edge.
CoRR
Guojun Xiong, Rahul Singh, Jian Li
2021 J jnl
Low-Power Status Updates via Sleep-Wake Scheduling.
CoRR
Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff
2021 J jnl
Low-Power Status Updates via Sleep-Wake Scheduling.
IEEE/ACM Trans. Netw.
Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff
2021 J jnl
Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits.
CoRR
Guojun Xiong, Jian Li, Rahul Singh
2021 — conf
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning.
L4DC
Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar
2021 J jnl
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers.
CoRR
Guojun Xiong, Gang Yan, Rahul Singh, Jian Li
2020 J jnl
A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19.
CoRR
Rahul Singh, Fang Liu, Ness B. Shroff
2020 J jnl
Contextual Bandits with Side-Observations.
CoRR
Rahul Singh, Fang Liu, Xin Liu, Ness B. Shroff
2020 J jnl
Learning in Markov Decision Processes under Constraints.
CoRR
Rahul Singh, Abhishek Gupta, Ness B. Shroff
2020 J jnl
Learning in Networked Control Systems.
CoRR
Rahul Singh, P. R. Kumar
2020 J jnl
Multi-Armed Bandits with Dependent Arms.
CoRR
Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff
2020 B conf
Optimizing information freshness using low-power status updates via sleep-wake scheduling.
MobiHoc
Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff
2020 J jnl
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning.
CoRR
Akshay Mete, Rahul Singh, P. R. Kumar
2019 B conf
A Distributed Algorithm for Throughput Optimal Routing in Overlay Networks.
Networking
Anurag Rai, Rahul Singh, Eytan H. Modiano
2019 J jnl
Optimal Age-Energy Trade-off via Sleep-Wake Scheduling.
CoRR
Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff
2019 J jnl
Optimal Decentralized Dynamic Policies for Video Streaming over Wireless Channels.
CoRR
Rahul Singh, P. R. Kumar
2019 — conf
Optimal Information Updating based on Value of Information.
Allerton
Rahul Singh, Gopal Krishna Kamath, P. R. Kumar
2019 J jnl
Optimal Information Updating based on Value of Information.
CoRR
Rahul Singh, Gopal Krishna Kamath, P. R. Kumar
2019 J jnl
Throughput Optimal Decentralized Scheduling of Multihop Networks With End-to-End Deadline Constraints: Unreliable Links.
IEEE Trans. Autom. Control.
Rahul Singh, P. R. Kumar
2018 J jnl
A Risk-Sensitive Approach for Packet Inter-Delivery Time Optimization in Networked Cyber-Physical Systems.
IEEE/ACM Trans. Netw.
Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu
2018 J jnl
Decentralized Control via Dynamic Stochastic Prices: The Independent System Operator Problem.
IEEE Trans. Autom. Control.
Rahul Singh, P. R. Kumar, Le Xie
2018 J jnl
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks.
CoRR
Igor Kadota, Abhishek Sinha, Elif Uysal-Biyikoglu, Rahul Singh, Eytan H. Modiano
2018 J jnl
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks.
IEEE/ACM Trans. Netw.
Igor Kadota, Abhishek Sinha, Elif Uysal-Biyikoglu, Rahul Singh, Eytan H. Modiano
2017 J jnl
Kiefer Wolfowitz Algorithm is Asymptotically Optimal for a Class of Non-Stationary Bandit Problems.
CoRR
Rahul Singh, Taposh Banerjee
2017 J jnl
Optimal Routing for Delay-Sensitive Traffic in Overlay Networks.
CoRR
Rahul Singh, Eytan H. Modiano
2017 J jnl
Risk-Sensitive Optimal Control of Queues.
CoRR
Rahul Singh, Xueying Guo, Eytan H. Modiano
2017 — conf
Risk-sensitive optimal control of queues.
CDC
Rahul Singh, Xueying Guo, Eytan H. Modiano
2017 J jnl
Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: II Wireless Networks with Interference.
CoRR
Rahul Singh, P. R. Kumar, Eytan H. Modiano
2016 J jnl
A Distributed Algorithm for Throughput Optimal Routing in Overlay Networks.
CoRR
Anurag Rai, Rahul Singh, Eytan H. Modiano
2016 — conf
An index based task assignment policy for achieving optimal power-delay tradeoff in edge cloud systems.
ICC
Xueying Guo, Rahul Singh, Tianchu Zhao, Zhisheng Niu
2016 J jnl
Dynamic Adaptive Streaming using Index-Based Learning Algorithms.
CoRR
Rahul Singh, P. R. Kumar
2016 A* conf
MaxWeight scheduling: "Smoothness" of the service process.
INFOCOM
Rahul Singh, Alexander L. Stolyar
2016 — conf
Minimizing the Age of Information in broadcast wireless networks.
Allerton
Igor Kadota, Elif Uysal-Biyikoglu, Rahul Singh, Eytan H. Modiano
2016 J jnl
Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: Unreliable Links.
CoRR
Rahul Singh, P. R. Kumar
2015 B conf
A High Reliability Asymptotic Approach for Packet Inter-Delivery Time Optimization in Cyber-Physical Systems.
MobiHoc
Xueying Guo, Rahul Singh, Panganamala Ramana Kumar, Zhisheng Niu
2015 J jnl
A High Reliability Asymptotic Approach for Packet Inter-Delivery Time Optimization in Cyber-Physical Systems.
CoRR
Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu
2015 J jnl
A Theory for the Operation of the Independent System Operator in a Smart Grid with Stochastic Renewables, Demand Response and Storage.
CoRR
Rahul Singh, Ke Ma, Anupam A. Thatte, Panganamala Ramana Kumar, Le Xie
2015 — conf
A theory for the economic operation of a smart grid with stochastic renewables, demand response and storage.
CDC
Rahul Singh, Ke Ma, Anupam A. Thatte, P. R. Kumar, Le Xie
2015 J jnl
Decentralized Throughput Maximizing Policies for Deadline-Constrained Wireless Networks.
CoRR
Rahul Singh, P. R. Kumar
2015 — conf
Decentralized throughput maximizing policies for deadline-constrained wireless networks.
CDC
Rahul Singh, Panganamala Ramana Kumar
2015 J jnl
Index Policies for Optimal Mean-Variance Trade-Off of Inter-delivery Times in Real-Time Sensor Networks.
CoRR
Rahul Singh, Xueying Guo, Panganamala Ramana Kumar
2015 A* conf
Index policies for optimal mean-variance trade-off of inter-delivery times in real-time sensor networks.
INFOCOM
Rahul Singh, Xueying Guo, P. R. Kumar
2015 A* conf
MaxWeight Scheduling: Asymptotic Behavior of Unscaled Queue-Differentials in Heavy Traffic.
SIGMETRICS
Rahul Singh, Alexander L. Stolyar
2015 J jnl
Optimal Energy-Efficient Regular Delivery of Packets in Cyber-Physical Systems.
CoRR
Xueying Guo, Rahul Singh, Panganamala Ramana Kumar, Zhisheng Niu
2015 — conf
Optimal energy-efficient regular delivery of packets in cyber-physical systems.
ICC
Xueying Guo, Rahul Singh, Panganamala Ramana Kumar, Zhisheng Niu
2015 J jnl
Optimizing Quality of Experience of Dynamic Video Streaming over Fading Wireless Networks.
CoRR
Rahul Singh, P. R. Kumar
2015 — conf
Optimizing quality of experience of dynamic video streaming over fading wireless networks.
CDC
Rahul Singh, P. R. Kumar
2015 J jnl
The ISO Problem: Decentralized Stochastic Control via Bidding Schemes.
CoRR
Rahul Singh, P. R. Kumar, Le Xie
2015 — conf
The ISO problem: Decentralized stochastic control via bidding schemes.
Allerton
Rahul Singh, Panganamala Ramana Kumar, Le Xie
2014 — conf
A polymatroid approach to separable convex optimization with linear ascending constraints.
NCC
P. T. Akhil, Rahul Singh, Rajesh Sundaresan
2014 A* conf
Fluctuation analysis of debt based policies for wireless networks with hard delay constraints.
INFOCOM
Rahul Singh, I-Hong Hou, P. R. Kumar
2013 J jnl
Capacity and Scheduling of Access Points for Multiple Live Video Streams.
CoRR
I-Hong Hou, Rahul Singh
2013 J jnl
Pathwise Performance of Debt Based Policies for Wireless Networks with Hard Delay Constraints.
CoRR
Rahul Singh, I-Hong Hou, P. R. Kumar
2013 — conf
Pathwise performance of debt based policies for wireless networks with hard delay constraints.
CDC
Rahul Singh, I-Hong Hou, P. R. Kumar
2013 B conf
Scheduling of access points for multiple live video streams.
MobiHoc
I-Hong Hou, Rahul Singh
2012 J jnl
Real-Time Stochastic Processing Networks with Concurrent Resource Requirements
CoRR
I-Hong Hou, Rahul Singh
2011 — conf
On LQR control with asynchronous clocks.
CDC/ECC
Rahul Singh, Vijay Gupta
2010 J jnl
Finite Duration Root Nyquist Pulses with Maximum In-Band Fractional Energy.
IEEE Commun. Lett.
Gaurav Nigam, Rahul Singh, A. K. Chaturvedi
redb/extractors/enum.py
← Index redb/extractors/enum.py python 
from enum import Enum


class Tag(Enum):
    BASIC_PROPERTIES = "basic_properties"
    DIEC = "detect_it_easy"
    CAPA = "capa"
    MALCONTENT = "malcontent"
    DECOMPILED = "decompiled"
    HASH = "hash"
    STRINGS = "strings"
    RELATED = "relatedness" # unused
    PE_FEATURES = "pe_features"
    PE_IMPORT = "pe_import"
    PE_OVERLAY = "pe_overlay"
    PE_SECTION = "pe_section"
    PE_RESOURCE = "pe_resource"
    PE_SIGNATURE = "pe_signature"
    PE_CERTIFICATE = "pe_certificate"
    PE_SIGNER = "pe_signer"
    PE_DOTNET = "pe_dotnet"
    PE_EMBEDDED_EXTRAS = "pe_embedded_extras"
    PE_INCONSISTENCY_TESTS = "pe_inconsistency_tests"
    DOTNET_INCONSISTENCY_TESTS = "dotnet_inconsistency_tests"
    YARA = "yara"
    # Mach-O
    MACHO_FEATURES = "macho_features"
    MACHO_IMPORT = "macho_import"
    MACHO_EXPORT = "macho_export"
    MACHO_DYLIB = "macho_dylib"
    MACHO_SEGMENT = "macho_segment"
    MACHO_SIGNATURE = "macho_signature"
    MACHO_CERTIFICATE = "macho_certificate"
    MACHO_ENTITLEMENT = "macho_entitlement"
    MACHO_UNIVERSAL = "macho_universal"
    MACHO_HASHES = "macho_hashes"
    # ELF
    ELF_FEATURES = "elf_features"
    ELF_IMPORT = "elf_import"
    ELF_EXPORT = "elf_export"
    ELF_SECTION = "elf_section"
    ELF_SEGMENT = "elf_segment"
    ELF_SYMBOL = "elf_symbol"
    ELF_RELOCATION = "elf_relocation"
    ELF_NOTE = "elf_note"
    ELF_DEPENDENCY = "elf_dependency"
    # APK
    APK_FEATURES = "apk_features"
    APK_MANIFEST = "apk_manifest"
    APK_PERMISSIONS = "apk_permissions"
    APK_SIGNATURE = "apk_signature"
    APK_DEX = "apk_dex"
    APK_RESOURCES = "apk_resources"
    APK_NATIVE_LIBS = "apk_native_libs"
    APK_INCONSISTENCY_TESTS = "apk_inconsistency_tests"
    APK_DECOMPILED = "apk_decompiled"
    # JavaScript
    JS_FEATURES = "js_features"
    JS_SUSPICIOUS_APIS = "js_suspicious_apis"
    JS_STRINGS = "js_strings"
    JS_DEOBFUSCATION = "js_deobfuscation"
    JS_CONTENT = "js_content"