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Dipendra Misra

25 papers · 2017–2024 · 9 venues · across top CS/AI venues

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Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (2) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (111)

Venues

ICML (6) NeurIPS (6) ICLR (4) EMNLP (3) AISTATS (2) ACL (1) COLT (1) CoRL (1) CVPR (1)

Top co-authors

John Langford (8) Akshay Krishnamurthy (6) Yoav Artzi (4) Yonathan Efroni (3) Dylan J Foster (3) Alex Lamb (2) Valts Blukis (2) Jordan Ash (2) Andrew Bennett (2) Surbhi Goel (2)

Research topics

Artificial Intelligence (19) Machine Learning (18) Core AI (16) Reinforcement Learning (11) Learning Types Β· Machine Learning (10) Methods (10) Optimization & Theory (7) Learning Paradigms (5) Natural Language Processing (4) Core Methods (4) Deep Learning (3) Robotics (3) Learning Types Β· Deep Learning (3) Applications Β· Reinforcement Learning (2) Applications Β· Robotics (2)

Keywords

reinforcement learning (9) sample complexity (8) representation learning (5) latent state (5) imitation learning (4) instruction following (4) neural network (2) policy optimization (2) noise contrastive learning (2) large language model (2) language feedback (2) interactive learning (2) sample-efficient learning (2) sample efficiency (2) continuous control (2) agent system (2) exogenous information (2) offline reinforcement learning (2) visual observation (2) self-supervised learning (1)

Papers

Aligning LLM Agents by Learning Latent Preference from User Edits NeurIPS 2024 Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning NeurIPS 2024 Policy Improvement using Language Feedback Models NeurIPS 2024 Provable Interactive Learning with Hindsight Instruction Feedback ICML 2024 The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ICLR 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Survival Instinct in Offline Reinforcement Learning NeurIPS 2023 Investigating the Role of Negatives in Contrastive Representation Learning AISTATS 2022 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics ICLR 2022 Provably sample-efficient RL with side information about latent dynamics NeurIPS 2022 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information COLT 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022 Interactive Learning from Activity Description ICML 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States ICLR 2021 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments CVPR 2019 Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018 Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction EMNLP 2018 Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction CoRL 2018 Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations EMNLP 2018 Proceedings of the Third Workshop on Representation Learning for NLP ACL 2018 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017