Prabuchandran K. J.

According to our database1, Prabuchandran K. J. authored at least 19 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Novel First Order Bayesian Optimization with an Application to Reinforcement Learning.
Appl. Intell., 2021

Reinforcement learning algorithm for non-stationary environments.
Appl. Intell., 2020

An Online Sample-Based Method for Mode Estimation Using ODE Analysis of Stochastic Approximation Algorithms.
IEEE Control. Syst. Lett., 2019

Reinforcement Learning in Non-Stationary Environments.
CoRR, 2019

Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks.
IEEE Wirel. Commun. Lett., 2018

Generalized Deterministic Perturbations For Stochastic Gradient Search.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Actor-Critic Algorithms with Online Feature Adaptation.
ACM Trans. Model. Comput. Simul., 2016

Information Diffusion in Social Networks in Two Phases.
IEEE Trans. Netw. Sci. Eng., 2016

Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes.
CoRR, 2016

Reinforcement Learning Algorithms for Regret Minimization in Structured Markov Decision Processes: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Energy Sharing for Multiple Sensor Nodes With Finite Buffers.
IEEE Trans. Commun., 2015

Decentralized learning for traffic signal control.
Proceedings of the 7th International Conference on Communication Systems and Networks, 2015

A Multi-phase Approach for Improving Information Diffusion in Social Networks.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-agent reinforcement learning for traffic signal control.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

An actor critic algorithm based on Grassmanian search.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Q-Learning Based Energy Management Policies for a Single Sensor Node with Finite Buffer.
IEEE Wirel. Commun. Lett., 2013

Feature Search in the Grassmanian in Online Reinforcement Learning.
IEEE J. Sel. Top. Signal Process., 2013