activity
20042023
most citedReinforcement Learning in Non-Stationary Environments

96 citations · 369 across the 74 of their papers we have counts for

collaborators
Showing cs.AIShow all

7 papers · 1 filter

cs.AI2021★ 5 cited

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

P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda +1

In this work, we consider the problem of computing optimal actions for Reinforcement Learning (RL) agents in a co-operative setting, where the objective is to optimize a common goa…

cs.AI2018★ 2 cited

A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees

Ajin George Joseph, Shalabh Bhatnagar

The cross entropy (CE) method is a model based search method to solve optimization problems where the objective function has minimal structure. The Monte-Carlo version of the CE me…

cs.AI2018

An Incremental Off-policy Search in a Model-free Markov Decision Process Using a Single Sample Path

Ajin George Joseph, Shalabh Bhatnagar

In this paper, we consider a modified version of the control problem in a model free Markov decision process (MDP) setting with large state and action spaces. The control problem m…

cs.AI2017

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

Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar

We consider the problem of tracking an intruder using a network of wireless sensors. For tracking the intruder at each instant, the optimal number and the right configuration of se…

cs.AI2015

Shaping Proto-Value Functions via Rewards

Chandrashekar Lakshmi Narayanan, Raj Kumar Maity, Shalabh Bhatnagar

In this paper, we combine task-dependent reward shaping and task-independent proto-value functions to obtain reward dependent proto-value functions (RPVFs). In constructing the RPV…

cs.AI2004★ 11 cited

Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms

Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar

Boltzmann selection is an important selection mechanism in evolutionary algorithms as it has theoretical properties which help in theoretical analysis. However, Boltzmann selection…