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Jesse Zhang

13 papers · 2018–2025 · 4 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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+3 more ↓ πŸ—ΊοΈ Taxonomy Completionist (27) 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (66) πŸ’Ž Century Club Β· Bronze

Venues

CoRL (4) ICLR (4) NeurIPS (3) ICML (2)

Top co-authors

Joseph J. Lim (4) Erdem Biyik (3) Karl Pertsch (2) Sergey Levine (2) Yao Liu (2) Rasool Fakoor (2) Jiahui Zhang (2) Shao-Hua Sun (2) Joseph J Lim (2) David Tse (2)

Research topics

Reinforcement Learning (8) Artificial Intelligence (7) Core AI (7) Methods (6) Machine Learning (5) Robotics (4) Capabilities (4) Learning Types (4) Deep Learning (3) Applications (3) Learning Paradigms (2) Optimization & Theory (2) Techniques (2) Application Areas (1) Architectures (1)

Keywords

reinforcement learning (3) robot manipulation (2) pre-trained model (2) imitation learning (2) robotic manipulation (2) sample efficiency (2) neural network optimization (1) non-convex optimization (1) continual learning (1) policy learning (1) adversarial training (1) program synthesis (1) reward function (1) hierarchical reinforcement learning (1) entropy minimization (1) hierarchical model (1) model-based reinforcement learning (1) generalization error (1) dynamic programming (1) transfer learning (1)

Papers

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation ICLR 2025 ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CoRL 2025 EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data CoRL 2024 RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback ICML 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024 Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CoRL 2023 RoboCLIP: One Demonstration is Enough to Learn Robot Policies NeurIPS 2023 Hierarchical Reinforcement Learning by Discovering Intrinsic Options ICLR 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 Chaining Behaviors from Data with Model-Free Reinforcement Learning CoRL 2020 Generalizable Adversarial Training via Spectral Normalization ICLR 2019 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018