Raghuram Bharadwaj Diddigi | DeepAI

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∙ 10/19/2021

Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm

Learning optimal behavior from existing data is one of the most importan...

8 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 01/07/2021

Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning

In this work, we consider the problem of computing optimal actions for R...

0 P. Parnika, et al. ∙

∙ 02/06/2020

A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks

We consider the problem of energy management in microgrid networks. A mi...

0 Shravan Nayak, et al. ∙

∙ 11/13/2019

A Convergent Off-Policy Temporal Difference Algorithm

Learning the value function of a given policy (target policy) from the d...

0 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 06/16/2019

Solution of Two-Player Zero-Sum Game by Successive Relaxation

We consider the problem of two-player zero-sum game. In this setting, th...

0 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 05/10/2019

Second Order Value Iteration in Reinforcement Learning

Value iteration is a fixed point iteration technique utilized to obtain ...

0 Chandramouli Kamanchi, et al. ∙

∙ 05/08/2019

Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning

In cooperative stochastic games multiple agents work towards learning jo...

0 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 03/09/2019

Successive Over Relaxation Q-Learning

In a discounted reward Markov Decision Process (MDP) the objective is to...

0 Chandramouli Kamanchi, et al. ∙

∙ 02/11/2019

An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms

One of the popular measures of central tendency that provides better rep...

0 Chandramouli Kamanchi, et al. ∙

∙ 11/14/2017

A unified decision making framework for supply and demand management in microgrid networks

This paper considers two important problems - on the supply-side and dem...

0 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 08/27/2017

Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks

We consider the problem of tracking an intruder using a network of wirel...

0 Raghuram Bharadwaj Diddigi, et al. ∙

∙ 08/25/2017

Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids

We consider the problem of minimizing the difference in the demand and t...

0 Raghuram Bharadwaj Diddigi, et al. ∙

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