Qianchuan Zhao
13 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (10)
π
Grand Slam
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Century Club Β· Bronze
ποΈ
Keyword Collector
(60)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Reinforcement Learning
(12)
Methods
(12)
Machine Learning
(7)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Applications
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Models
(1)
Optimization
(1)
Keywords
offline reinforcement learning
(6)
policy optimization
(3)
value estimation
(2)
deep reinforcement learning
(2)
extrapolation error
(2)
semi-supervised learning
(1)
sample efficiency
(1)
orthogonal matching pursuit
(1)
hierarchical learning
(1)
policy gradient
(1)
self-supervised learning
(1)
behavior cloning
(1)
discount factor
(1)
mutual information
(1)
reinforcement learning
(1)
parameter sharing
(1)
continuous control
(1)
episodic memory
(1)
value function
(1)
contrastive learning
(1)
Papers
Episodic Novelty Through Temporal Distance
ICLR 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
ICLR 2025
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
ICML 2024
Learning Diverse Risk Preferences in Population-Based Self-Play
AAAI 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
AAAI 2024
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
AAAI 2023
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
IJCAI 2023
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
ICLR 2023
Offline Reinforcement Learning with Value-based Episodic Memory
ICLR 2022
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
Average-Reward Reinforcement Learning with Trust Region Methods
IJCAI 2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
NeurIPS 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
NeurIPS 2021