Sridhar Mahadevan
12 papers · 2007–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (16)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(16)
🌟
Keyword Trendsetter Combo
(3)
💎
Century Club
(11)
📈
Trend Setter
🗃️
Keyword Collector
(56)
🚀
Conference Pioneer
Conferences
NIPS (3)
AAAI (2)
IJCAI (2)
JMLR (2)
EMNLP (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
reinforcement learning
(3)
markov decision process
(3)
basis function
(2)
value function
(2)
policy learning
(1)
markov decision processes
(1)
graph laplacian
(1)
feature selection
(1)
image generation
(1)
sparse representation
(1)
policy gradient
(1)
deep learning
(1)
constrained optimization
(1)
dynamic regret
(1)
hierarchical reinforcement learning
(1)
convex optimization
(1)
natural gradient
(1)
natural actor-critic
(1)
l1 regularization
(1)
temporal difference learning
(1)
Papers
Rethinking AI: From Functions to Functors
AAAI 2026
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
AAAI 2023
Generating and Controlling Diversity in Image Search
WACV 2022
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Proximal Gradient Temporal Difference Learning Algorithms
IJCAI 2016
Efficient Hyper-parameter Optimization for NLP Applications
EMNLP 2015
Manifold Alignment Preserving Global Geometry
IJCAI 2013
Projected Natural Actor-Critic
NIPS 2013
Regularized Off-Policy TD-Learning
NIPS 2012
Basis Construction from Power Series Expansions of Value Functions
NIPS 2010
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
JMLR 2007
Hierarchical Average Reward Reinforcement Learning
JMLR 2007