Jesse Zhang
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (7)
π
Cross-Pollinator
(13)
π
Century Club
(13)
Conferences
CORL (4)
ICLR (4)
NIPS (3)
ICML (2)
Top co-authors
Keywords
reinforcement learning
(3)
non-convex optimization
(1)
imitation learning
(1)
robotic manipulation
(1)
program synthesis
(1)
neural network optimization
(1)
dynamic programming
(1)
model-based reinforcement learning
(1)
skill chaining
(1)
optimization landscape
(1)
robot manipulation
(1)
probabilistic model
(1)
long-horizon planning
(1)
local optima
(1)
model-free learning
(1)
interpretable policy
(1)
neural network policy
(1)
cautious adaptation
(1)
safety-critical setting
(1)
risk-averse exploration
(1)
Papers
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
CORL 2025
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation
ICLR 2025
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
ICML 2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CORL 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
NIPS 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
CORL 2023
Learning to Synthesize Programs as Interpretable and Generalizable Policies
NIPS 2021
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
ICLR 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
NIPS 2018