Zichuan Lin
13 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver 𧬠Topic Evolution
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Research topics
Reinforcement Learning
(11)
Methods
(11)
Machine Learning
(8)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Learning Types Β· Deep Learning
(4)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Knowledge & Reasoning
(1)
Robotics
(1)
Capabilities
(1)
Keywords
reinforcement learning
(3)
distributional reinforcement learning
(2)
deep reinforcement learning
(2)
representation learning
(2)
sample efficiency
(2)
reward decomposition
(2)
offline reinforcement learning
(2)
visual question answering
(1)
unsupervised pretraining
(1)
few-shot learning
(1)
policy gradient
(1)
curriculum learning
(1)
hierarchical reinforcement learning
(1)
self-supervised learning
(1)
policy optimization
(1)
robust reinforcement learning
(1)
trajectory modeling
(1)
in-context learning
(1)
imitation learning
(1)
multi-agent reinforcement learning
(1)
Papers
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
CVPR 2026
Multi-agent In-context Coordination via Decentralized Memory Retrieval
AAAI 2026
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
EMNLP 2025
Learning Versatile Skills with Curriculum Masking
NeurIPS 2024
Future-conditioned Unsupervised Pretraining for Decision Transformer
ICML 2023
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
IJCAI 2022
Model-based Adversarial Meta-Reinforcement Learning
NeurIPS 2020
Object-Oriented Dynamics Learning through Multi-Level Abstraction
AAAI 2020
RD$^2$: Reward Decomposition with Representation Decomposition
NeurIPS 2020
Distributional Reward Decomposition for Reinforcement Learning
NeurIPS 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
NeurIPS 2019
Unified Policy Optimization for Robust Reinforcement Learning
ACML 2019
Episodic Memory Deep Q-Networks
IJCAI 2018