Shlomo Zilberstein
26 papers · 2009–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(14)
Core AI
(13)
Machine Learning
(11)
Mathematics & Optimization
(7)
Reinforcement Learning
(7)
Learning Types
(7)
Optimization
(7)
Optimization & Theory
(7)
Methods
(6)
Applications
(3)
Computer Science
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Foundations
(2)
Natural Language Processing
(1)
Keywords
markov decision process
(3)
regret minimization
(2)
sequential decision making
(2)
approximation algorithm
(2)
partially observable markov decision process
(2)
reinforcement learning
(2)
value function approximation
(2)
policy iteration
(2)
bilinear programming
(2)
bellman residual
(2)
large language model
(2)
online learning
(2)
negative side effect
(2)
online decision making
(1)
inverse reinforcement learning
(1)
game theory
(1)
computational complexity
(1)
trajectory modeling
(1)
policy optimization
(1)
motion planning
(1)
Papers
Causal Explanations for Sequential Decision Making (Abstract Reprint)
AAAI 2026
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
AAAI 2026
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models
AAAI 2025
Approximation Algorithms for Observer Aware MDPs
UAI 2024
Explanation-Guided Reward Alignment
IJCAI 2023
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers
AAAI 2023
A unifying framework for observer-aware planning and its complexity
UAI 2021
Ethically Compliant Sequential Decision Making
AAAI 2021
A Multi-Objective Approach to Mitigate Negative Side Effects
IJCAI 2020
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
IJCAI 2018
Equi-Reward Utility Maximizing Design in Stochastic Environments
IJCAI 2017
Multi-Agent Planning with Baseline Regret Minimization
IJCAI 2017
Online Decision-Making for Scalable Autonomous Systems
IJCAI 2017
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems
IJCAI 2016
Fast Combinatorial Algorithm for Optimizing the Spread of Cascades
IJCAI 2015
Multi-Objective POMDPs with Lexicographic Reward Preferences
IJCAI 2015
Stochastic Network Design in Bidirected Trees
NeurIPS 2014
Automated Generation of Interaction Graphs for Value-Factored Decentralized POMDPs
IJCAI 2013
Fault-Tolerant Planning under Uncertainty
IJCAI 2013
Monte-Carlo Expectation Maximization for Dec-POMDPs
IJCAI 2013
Parameter Learning for Latent Network Diffusion
IJCAI 2013
Message-Passing Algorithms for MAP Estimation Using DC Programming
AISTATS 2012
Robust Approximate Bilinear Programming for Value Function Approximation
JMLR 2011
MAP Estimation for Graphical Models by Likelihood Maximization
NeurIPS 2010
Complexity of Decentralized Control: Special Cases
NeurIPS 2009
Robust Value Function Approximation Using Bilinear Programming
NeurIPS 2009