Ashutosh Nayyar
8 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(7)
Reinforcement Learning
(6)
Learning Types
(6)
Methods
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
regret bound
(4)
reinforcement learning
(3)
imitation learning
(3)
posterior sampling
(2)
multi-agent system
(2)
markov decision process
(2)
partially observable markov decision process
(2)
offline learning
(2)
bayesian learning
(1)
inverse reinforcement learning
(1)
policy optimization
(1)
thompson sampling
(1)
posterior distribution
(1)
optimal control
(1)
constrained optimization
(1)
kernel density estimation
(1)
sample complexity
(1)
multi-agent learning
(1)
bayesian inference
(1)
online learning
(1)
Papers
Balance Equation-based Distributionally Robust Offline Imitation Learning
L4DC 2026
Conditional Kernel Imitation Learning for Continuous State Environments
L4DC 2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
AAAI 2025
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
AISTATS 2024
Online Learning for Unknown Partially Observable MDPs
AISTATS 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
UAI 2022
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
UAI 2020
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
NeurIPS 2017