conftrace_
← Authors

Dipendra Misra

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

Achievements

Jump to papers ↓
+12 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (9)
🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (94) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

ICML (6) NIPS (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)

Keywords

reinforcement learning (6) sample complexity (5) instruction following (4) imitation learning (4) representation learning (3) neural network (2) exogenous information (2) visual observation (2) policy optimization (2) sample-efficient learning (2) sample efficiency (2) language feedback (2) continuous control (2) offline reinforcement learning (2) latent state (2) agent system (2) semantic parsing (1) self-supervised learning (1) state abstraction (1) transfer learning (1)

Papers

Provable Interactive Learning with Hindsight Instruction Feedback ICML 2024 Policy Improvement using Language Feedback Models NIPS 2024 Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning NIPS 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ICLR 2024 Aligning LLM Agents by Learning Latent Preference from User Edits NIPS 2024 Survival Instinct in Offline Reinforcement Learning NIPS 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics ICLR 2022 Provably sample-efficient RL with side information about latent dynamics NIPS 2022 Investigating the Role of Negatives in Contrastive Representation Learning AISTATS 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 Learning the Linear Quadratic Regulator from Nonlinear Observations NIPS 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments CVPR 2019 Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction EMNLP 2018 Lipschitz Continuity in Model-based Reinforcement Learning ICML 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