Shixiang (Shane) Gu
14 papers · 2015–2023 · 2 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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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
β
The Questioner
ποΈ
Keyword Collector
(81)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Reinforcement Learning
(8)
Methods
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Robotics
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
offline reinforcement learning
(3)
continuous control
(3)
deep reinforcement learning
(3)
hierarchical reinforcement learning
(3)
sample efficiency
(2)
instruction following
(2)
off-policy learning
(2)
sequential monte carlo
(2)
multi-task learning
(1)
sim-to-real transfer
(1)
multi-agent reinforcement learning
(1)
maximum entropy
(1)
variational inference
(1)
ensemble learning
(1)
imitation learning
(1)
nonparametric bayesian
(1)
zero-shot learning
(1)
embedding learning
(1)
weakly supervised learning
(1)
uncertainty quantification
(1)
Papers
DreamSparse: Escaping from Platoβs Cave with 2D Diffusion Model Given Sparse Views
NeurIPS 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
NeurIPS 2023
Large Language Models are Zero-Shot Reasoners
NeurIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
NeurIPS 2022
A Minimalist Approach to Offline Reinforcement Learning
NeurIPS 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
NeurIPS 2021
Weakly-Supervised Reinforcement Learning for Controllable Behavior
NeurIPS 2020
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
NeurIPS 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
CoRL 2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
NeurIPS 2019
Data-Efficient Hierarchical Reinforcement Learning
NeurIPS 2018
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
NeurIPS 2017
Neural Adaptive Sequential Monte Carlo
NeurIPS 2015
Particle Gibbs for Infinite Hidden Markov Models
NeurIPS 2015