Mahdi Imani
9 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Bayesian & Probabilistic Β· Machine Learning
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Keywords
multi-agent system
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bayesian optimization
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multi-agent reinforcement learning
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reinforcement learning
(1)
bayesian inference
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parameter estimation
(1)
uncertainty modeling
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visual grounding
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inverse reinforcement learning
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markov chain monte carlo
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markov decision process
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posterior distribution
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laplace approximation
(1)
gaussian process
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sequential monte carlo
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reproducing kernel hilbert space
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parameter inference
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bayesian decision making
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particle filter
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policy learning
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Papers
Draft and Refine with Visual Experts
CVPR 2026
Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation
UAI 2026
Workflow Search Reinforcement Learning over Structured Decompositions
L4DC 2026
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
L4DC 2025
Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes
L4DC 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward
AAAI 2025
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
ICLR 2024
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models
AAAI 2019
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
NeurIPS 2018