Dilip Arumugam
12 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(10)
🧭
Keyword Pioneer
🧬
Topic Evolution
🏆
Keyword Champion
(4)
🗃️
Keyword Collector
(62)
💎
Century Club
(12)
🔥
Unstoppable
(6)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
ICML (3)
NIPS (3)
RSS (3)
AAAI (1)
AISTATS (1)
UAI (1)
Top co-authors
Keywords
rate-distortion theory
(4)
state abstraction
(4)
reinforcement learning
(3)
natural language understanding
(2)
language grounding
(2)
transfer learning
(2)
imitation learning
(2)
markov decision process
(2)
robot manipulation
(2)
sequential decision-making
(2)
natural language grounding
(2)
exploration exploitation
(2)
pac learning
(1)
sample complexity
(1)
information bottleneck
(1)
sequential decision making
(1)
value function
(1)
epistemic uncertainty
(1)
regret minimization
(1)
robot learning
(1)
Papers
Hindsight Merging: Diverse Data Generation with Language Models
UAI 2025
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
NIPS 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
NIPS 2022
The Value of Information When Deciding What to Learn
NIPS 2021
Deciding What to Learn: A Rate-Distortion Approach
ICML 2021
Value Preserving State-Action Abstractions
AISTATS 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
ICML 2020
State Abstraction as Compression in Apprenticeship Learning
AAAI 2019
State Abstractions for Lifelong Reinforcement Learning
ICML 2018
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications
RSS 2018
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
RSS 2017
Grounding English Commands to Reward Functions
RSS 2015