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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...
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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...
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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...
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11/13/2019
A Convergent Off-Policy Temporal Difference Algorithm
Learning the value function of a given policy (target policy) from the d...
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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...
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05/10/2019
Second Order Value Iteration in Reinforcement Learning
Value iteration is a fixed point iteration technique utilized to obtain ...
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05/08/2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning
In cooperative stochastic games multiple agents work towards learning jo...
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03/09/2019
Successive Over Relaxation Q-Learning
In a discounted reward Markov Decision Process (MDP) the objective is to...
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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...
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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...
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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...
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08/25/2017