Shixiang Shane Gu
11 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
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Conference Polyglot
(4)
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Renaissance Researcher
(5)
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Mega-Team
(35)
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Keyword Collector
(60)
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Century Club
(11)
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The Questioner
Conferences
ICML (5)
ICLR (4)
JMLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
mutual information
(2)
value function
(2)
multi-task learning
(1)
direct preference optimization
(1)
few-shot learning
(1)
temporal difference learning
(1)
variational inference
(1)
curriculum learning
(1)
preference learning
(1)
offline reinforcement learning
(1)
language model alignment
(1)
reinforcement learning from human feedback
(1)
model alignment
(1)
sample efficiency
(1)
representation learning
(1)
value iteration
(1)
state representation
(1)
off-policy learning
(1)
deep reinforcement learning
(1)
Papers
Geometric-Averaged Preference Optimization for Soft Preference Labels
NIPS 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
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
ICML 2022
Generalized Decision Transformer for Offline Hindsight Information Matching
ICLR 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
ICML 2022
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICML 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
ICML 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
ICML 2021