Yuda Song
17 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Research topics
Reinforcement Learning
(10)
Machine Learning
(8)
Methods
(8)
Artificial Intelligence
(7)
Core AI
(7)
Learning Paradigms
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Resources & Methods
(2)
Computer Vision
(1)
Applications
(1)
Keywords
representation learning
(4)
model-based reinforcement learning
(4)
reinforcement learning
(3)
sample complexity
(3)
policy optimization
(2)
offline dataset
(2)
online learning
(2)
function approximation
(2)
model predictive control
(1)
preference optimization
(1)
policy gradient
(1)
knowledge distillation
(1)
real-time processing
(1)
computational efficiency
(1)
natural policy gradient
(1)
value function
(1)
message passing
(1)
domain randomization
(1)
style transfer
(1)
sample efficiency
(1)
Papers
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
ICML 2025
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
ICLR 2025
Hybrid Reinforcement Learning from Offline Observation Alone
ICML 2024
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
ICLR 2024
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
ICML 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
NeurIPS 2024
Hybrid RL: Using both offline and online data can make RL efficient
ICLR 2023
Provable Benefits of Representational Transfer in Reinforcement Learning
COLT 2023
Representation Learning for Low-rank General-sum Markov Games
ICLR 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
ICML 2023
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
ICML 2022
Multi-Curve Translator for High-Resolution Photorealistic Image Translation
ECCV 2022
Online No-regret Model-Based Meta RL for Personalized Navigation
L4DC 2022
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
ICLR 2022
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
ICML 2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
ICCV 2021
Provably Efficient Model-based Policy Adaptation
ICML 2020