Prashant Doshi
19 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(74)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(12)
Machine Learning
(10)
Reinforcement Learning
(6)
Core Methods
(6)
Methods
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Learning Types
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
inverse reinforcement learning
(4)
sum-product network
(4)
partial observability
(3)
probabilistic model
(3)
reward function
(3)
probabilistic graphical model
(3)
partially observable markov decision process
(2)
open multi-agent system
(2)
belief state
(2)
graphical model
(2)
bayesian inference
(2)
decision-theoretic planning
(2)
structure learning
(2)
multi-agent reinforcement learning
(2)
tractable inference
(2)
multi-agent planning
(2)
sequence classification
(1)
cognitive modeling
(1)
policy learning
(1)
expectation maximization
(1)
Papers
Adaptive Human-Robot Collaboration using Type-Based IRL
UAI 2025
MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems
UAI 2025
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling
NeurIPS 2024
Anytime Learning of Sum-Product and Sum-Product-Max Networks
PGM 2022
Decision-theoretic planning with communication in open multiagent systems
UAI 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise
UAI 2022
Online Inverse Reinforcement Learning with Learned Observation Model
CoRL 2022
Reinforcement learning in many-agent settings under partial observability
UAI 2022
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots
AAAI 2021
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability
IJCAI 2021
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems
AAAI 2020
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
UAI 2019
Model-Free IRL Using Maximum Likelihood Estimation
AAAI 2019
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
NeurIPS 2018
Dynamic Sum Product Networks for Tractable Inference on Sequence Data
PGM 2016
Sum-Product-Max Networks for Tractable Decision Making
IJCAI 2016
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
NeurIPS 2015
Toward Estimating Others' Transition Models Under Occlusion for Multi-Robot IRL
IJCAI 2015
Bimodal Switching for Online Planning in Multiagent Settings
IJCAI 2013