Sridhar Mahadevan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1985–2026

Best venue rank

Where they publish

Papers

63 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Rethinking AI: From Functions to Functors.	Sridhar Mahadevan
2023	AAAI	Smoothed Online Combinatorial Optimization Using Imperfect Predictions.	Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan
2023	WSDM	Privacy Aware Experiments without Cookies.	Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha
2022	WACV	Generating and Controlling Diversity in Image Search.	Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
2020	ICML	Optimizing for the Future in Non-Stationary MDPs.	Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2018	AAAI	Imagination Machines: A New Challenge for Artificial Intelligence.	Sridhar Mahadevan
2017	ICLR	Generative Multi-Adversarial Networks.	Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
2016	IJCAI	Proximal Gradient Temporal Difference Learning Algorithms.	Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015	AAAI	Aligning Mixed Manifolds.	Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Darby Dyar
2015	AAAI	Solving Large Sustainable Supply Chain Networks Using Variational Inequalities.	Ian Gemp, Sridhar Mahadevan, Bo Liu
2015	EMNLP	Efficient Hyper-parameter Optimization for NLP Applications.	Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan
2015	UAI	Finite-Sample Analysis of Proximal Gradient TD Algorithms.	Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2014	AAAI	Manifold Spanning Graphs.	CJ Carey, Sridhar Mahadevan
2013	AAAI	Multiscale Manifold Learning.	Chang Wang, Sridhar Mahadevan
2013	AAAI	Basis Adaptation for Sparse Nonlinear Reinforcement Learning.	Sridhar Mahadevan, Stephen Giguere, Nicholas Jacek
2013	IJCAI	Manifold Alignment Preserving Global Geometry.	Chang Wang, Sridhar Mahadevan
2012	AAAI	Manifold Warping: Manifold Alignment over Time.	Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
2012	UAI	Sparse Q-learning with Mirror Descent.	Sridhar Mahadevan, Bo Liu
2011	IJCAI	Heterogeneous Domain Adaptation Using Manifold Alignment.	Chang Wang, Sridhar Mahadevan
2011	IJCAI	Jointly Learning Data-Dependent Label and Locality-Preserving Projections.	Chang Wang, Sridhar Mahadevan
2011	PPAM	A GPU-Based Approximate SVD Algorithm.	Blake Foster, Sridhar Mahadevan, Rui Wang
2010	AAAI	Representation Discovery in Sequential Decision Making.	Sridhar Mahadevan
2010	AAAI	Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization.	Georgios Theocharous, Sridhar Mahadevan
2009	AIED	Transfer Learning and Representation Discovery in Intelligent Tutoring Systems.	Kimberly Ferguson, Beverly Park Woolf, Sridhar Mahadevan
2009	IJCAI	Manifold Alignment without Correspondence.	Chang Wang, Sridhar Mahadevan
2009	IJCAI	Multiscale Analysis of Document Corpora Based on Diffusion Models.	Chang Wang, Sridhar Mahadevan
2008	AAAI	Fast Spectral Learning using Lanczos Eigenspace Projections.	Sridhar Mahadevan
2008	ICML	Manifold alignment using Procrustes analysis.	Chang Wang, Sridhar Mahadevan
2007	AAAI	Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization.	Jeffrey Johns, Sridhar Mahadevan, Chang Wang
2007	AIED	Repairing Disengagement With Non-Invasive Interventions.	Ivon Arroyo, Kimberly Ferguson, Jeffrey Johns, Toby Dragon, Hasmik Meheranian, Don Fisher, Andrew G. Barto, Sridhar Mahadevan, Beverly Park Woolf
2007	ICML	Constructing basis functions from directed graphs for value function approximation.	Jeffrey Johns, Sridhar Mahadevan
2007	ICML	Adaptive mesh compression in 3D computer graphics using multiscale manifold learning.	Sridhar Mahadevan
2007	ICML	Learning state-action basis functions for hierarchical MDPs.	Sarah Osentoski, Sridhar Mahadevan
2006	AAAI	Learning Representation and Control in Continuous Markov Decision Processes.	Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski
2006	ICML	Fast direct policy evaluation using multiscale analysis of Markov diffusion processes.	Mauro Maggioni, Sridhar Mahadevan
2006	ITS	Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels.	Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Park Woolf, Andrew G. Barto
2006	ITS	Estimating Student Proficiency Using an Item Response Theory Model.	Jeffrey Johns, Sridhar Mahadevan, Beverly Park Woolf
2005	AAAI	A Variational Learning Algorithm for the Abstract Hidden Markov Model.	Jeffrey Johns, Sridhar Mahadevan
2005	AAAI	Samuel Meets Amarel: Automating Value Function Approximation Using Global State Space Analysis.	Sridhar Mahadevan
2005	ICML	Proto-value functions: developmental reinforcement learning.	Sridhar Mahadevan
2005	ICML	Coarticulation: an approach for generating concurrent plans in Markov decision processes.	Khashayar Rohanimanesh, Sridhar Mahadevan
2005	UAI	Representation Policy Iteration.	Sridhar Mahadevan
2005	SECON	Switching kalman filters for prediction and tracking in an adaptive meteorological sensing network.	Victoria Manfredi, Sridhar Mahadevan, James F. Kurose
2004	IROS	Learning hierarchical models of activity.	Sarah Osentoski, Victoria Manfredi, Sridhar Mahadevan
2003	ICML	Hierarchical Policy Gradient Algorithms.	Mohammad Ghavamzadeh, Sridhar Mahadevan
2002	ICML	Hierarchically Optimal Average Reward Reinforcement Learning.	Mohammad Ghavamzadeh, Sridhar Mahadevan
2002	IROS	Learning the hierarchical structure of spatial environments using multiresolution statistical models.	Georgios Theocharous, Sridhar Mahadevan
2002	ICRA	Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.	Georgios Theocharous, Sridhar Mahadevan
2001	ICML	Continuous-Time Hierarchical Reinforcement Learning.	Mohammad Ghavamzadeh, Sridhar Mahadevan
2001	ICRA	Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.	Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan
2001	UAI	Decision-Theoretic Planning with Concurrent Temporally Extended Actions.	Khashayar Rohanimanesh, Sridhar Mahadevan
1999	ICML	Hierarchical Optimization of Policy-Coupled Semi-Markov Decision Processes.	Gang Wang, Sridhar Mahadevan
1998	FlAIRS	Optimizing Production Manufacturing Using Reinforcement Learning.	Sridhar Mahadevan, Georgios Theocharous
1996	AAAI	An Average-Reward Reinforcement Learning Algorithm for Computing Bias-Optimal Policies.	Sridhar Mahadevan
1996	ICML	Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning.	Sridhar Mahadevan
1994	ICML	To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning.	Sridhar Mahadevan
1992	ICML	Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions.	Sridhar Mahadevan
1991	AAAI	Automatic Programming of Behavior-Based Robots Using Reinforcement Learning.	Sridhar Mahadevan, Jonathan Connell
1991	ICML	Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture.	Sridhar Mahadevan, Jonathan Connell
1989	ICML	Using Determinations in EBL: A Solution to the incomplete Theory Problem.	Sridhar Mahadevan
1988	ICML	On the Tractability of Learning from Incomplete Theories.	Sridhar Mahadevan, Prasad Tadepalli
1985	IJCAI	Verification-based Learning: A Generalized Strategy for Inferring Problem-Reduction Methods.	Sridhar Mahadevan
1985	IJCAI	LEAP: A Learning Apprentice for VLSI Design.	Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg