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20122026
most citedReinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

27 citations · 206 across the 63 of their papers we have counts for

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8 papers · 1 filter

math.OC2023★ 4 cited

Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems

Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil +1

This paper addresses safe distributed online optimization over an unknown set of linear safety constraints. A network of agents aims at jointly minimizing a global, time-varying fu…

math.OC2021

Online Robust Control of Linear Dynamical Systems with Limited Prediction

Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar

We study the online robust control problem for linear dynamical systems with disturbances and uncertainties in the cost functions, with limited preview of the future disturbances a…

math.OC2020★ 1 cited

Reinforcement Learning for Mean Field Games with Strategic Complementarities

Kiyeob Lee, Desik Rengarajan, Dileep Kalathil +1

Mean Field Games (MFG) are the class of games with a very large number of agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms for learning MFE…

math.OC2020★ 2 cited

D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR

Karthikeya S Parunandi, Aayushman Sharma, Suman Chakravorty +1

In this paper, we propose a structured linear parameterization of a feedback policy to solve the model-free stochastic optimal control problem. This parametrization is corroborated…

math.OC2014

Empirical Q-Value Iteration

Dileep Kalathil, Vivek S. Borkar, Rahul Jain

We propose a new simple and natural algorithm for learning the optimal Q-value function of a discounted-cost Markov Decision Process (MDP) when the transition kernels are unknown.…

math.OC2013★ 1 cited

Empirical Dynamic Programming

William B. Haskell, Rahul Jain, Dileep Kalathil

We propose empirical dynamic programming algorithms for Markov decision processes (MDPs). In these algorithms, the exact expectation in the Bellman operator in classical value iter…

math.OC2013

Optimal Decentralized Control with Asymmetric One-Step Delayed Information Sharing

Naumaan Nayyar, Dileep Kalathil, Rahul Jain

We consider optimal control of decentralized LQG problems for plants controlled by two players having asymmetric information sharing patterns between them. In one scenario, players…

math.OC2012★ 17 cited

Decentralized Learning for Multi-player Multi-armed Bandits

Dileep Kalathil, Naumaan Nayyar, Rahul Jain

We consider the problem of distributed online learning with multiple players in multi-armed bandits (MAB) models. Each player can pick among multiple arms. When a player picks an a…