Shixiang Gu
12 papers · 2016–2023 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26)
🗃️
Keyword Collector
(62)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Reinforcement Learning
(8)
Learning Types · Machine Learning
(8)
Methods
(8)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(4)
Applications
(4)
Optimization & Theory
(4)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Models
(2)
Natural Language Processing
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
policy learning
(3)
model-based reinforcement learning
(3)
deep reinforcement learning
(3)
offline reinforcement learning
(2)
sample efficiency
(2)
value function
(2)
off-policy learning
(2)
hierarchical reinforcement learning
(2)
reinforcement learning
(2)
continuous control
(2)
skill discovery
(2)
model predictive control
(1)
conversational ai
(1)
policy gradient
(1)
sequence generation
(1)
variational inference
(1)
policy optimization
(1)
divergence minimization
(1)
inverse reinforcement learning
(1)
imitation learning
(1)
Papers
Large Language Models Can Self-Improve
EMNLP 2023
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
ICLR 2021
Dynamics-Aware Unsupervised Discovery of Skills
ICLR 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
RSS 2020
Human-centric dialog training via offline reinforcement learning
EMNLP 2020
A Divergence Minimization Perspective on Imitation Learning Methods
CoRL 2019
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
ICLR 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
ICLR 2019
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
ICLR 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning
ICML 2018
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
ICML 2017
Continuous Deep Q-Learning with Model-based Acceleration
ICML 2016