Rohan Chitnis

12 papers · 2015–2024 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (30)

🧬 Topic Evolution 🗃️ Keyword Collector (68) 💎 Century Club · Bronze ❓ The Questioner 🌈 Renaissance Researcher (7)

Venues

CoRL (4) AAAI (3) ICLR (3) EMNLP (1) IJCAI (1)

Top co-authors

Tomás Lozano-Pérez (8) Tom Silver (5) Leslie Pack Kaelbling (4) Joshua B. Tenenbaum (3) Alborz Geramifard (2) Amy Zhang (2) Nishanth Kumar (2) Leslie Kaelbling (2) Willie McClinton (2) Prajjwal Bhargava (1)

Research topics

Artificial Intelligence (8) Machine Learning (8) Core AI (8) Reinforcement Learning (6) Applications (4) Learning Types (4) Methods (4) Deep Learning (3) Robotics (3) Capabilities (3) Core Methods (3) Learning Paradigms (3) Knowledge & Reasoning (2) Architectures (2) Reasoning (2)

Keywords

state abstraction (3) bilevel planning (2) task and motion planning (2) offline reinforcement learning (2) markov decision process (2) motion planning (2) sparse reward (2) human-robot interaction (1) relational learning (1) reinforcement learning (1) clustering analysis (1) automated planning (1) density estimation (1) behavior cloning (1) sequence modeling (1) feature space (1) belief state (1) robotic manipulation (1) constraint satisfaction (1) mutual information (1)

Papers

Score Models for Offline Goal-Conditioned Reinforcement Learning ICLR 2024 When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 Learning Efficient Abstract Planning Models that Choose What to Predict CoRL 2023 Predicate Invention for Bilevel Planning AAAI 2023 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks AAAI 2021 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Finding Frequent Entities in Continuous Data IJCAI 2018 Learning What Information to Give in Partially Observed Domains CoRL 2018 Variable-Length Word Encodings for Neural Translation Models EMNLP 2015