Aditya Modi
8 papers · 2018–2024 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🧭
Keyword Pioneer
❓
The Questioner
Top co-authors
Research topics
Reinforcement Learning
(7)
Methods
(7)
Machine Learning
(6)
Optimization & Theory
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Computer Science
(1)
Clinical
(1)
Keywords
reinforcement learning
(3)
reward-free exploration
(2)
learning theory
(1)
sample efficiency
(1)
temporal difference learning
(1)
offline reinforcement learning
(1)
function approximation
(1)
model-based reinforcement learning
(1)
sample complexity
(1)
pac learning
(1)
policy learning
(1)
minimax optimization
(1)
theoretical analysis
(1)
markov decision process
(1)
side information
(1)
online learning
(1)
optimistic exploration
(1)
no-regret learning
(1)
generalized linear model
(1)
representation learning
(1)
Papers
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
NeurIPS 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs
JMLR 2024
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NeurIPS 2022
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
AAAI 2020
No-regret Exploration in Contextual Reinforcement Learning
UAI 2020
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
AISTATS 2020
Markov Decision Processes with Continuous Side Information
ALT 2018