Shixiang Shane Gu
11 papers · 2021–2024 · 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
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π₯ Mega-Team Β· Squad
ποΈ
Keyword Collector
(77)
π
Century Club Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Reinforcement Learning
(6)
Methods
(6)
Artificial Intelligence
(5)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Core Methods
(3)
Optimization & Theory
(3)
Architectures
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Keywords
reinforcement learning
(3)
multi-task learning
(3)
offline reinforcement learning
(2)
few-shot learning
(2)
representation learning
(2)
mutual information
(2)
language model
(2)
physical reasoning
(2)
value function
(2)
sample efficiency
(1)
variational inference
(1)
imitation learning
(1)
curriculum learning
(1)
preference learning
(1)
zero-shot learning
(1)
model alignment
(1)
reinforcement learning from human feedback
(1)
language model alignment
(1)
instruction following
(1)
direct preference optimization
(1)
Papers
Geometric-Averaged Preference Optimization for Soft Preference Labels
NeurIPS 2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
ICLR 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
ICLR 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 2023
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
ICML 2022
Generalized Decision Transformer for Offline Hindsight Information Matching
ICLR 2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
ICML 2022
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
ICML 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
ICML 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICML 2021