Jiashun Liu
7 papers · 2024–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🏆
Grand Slam
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Research topics
Keywords
reinforcement learning
(2)
continual learning
(1)
hybrid action space
(1)
hierarchical planning
(1)
chain-of-thought reasoning
(1)
visual reasoning
(1)
semantic alignment
(1)
robot manipulation
(1)
monte carlo tree search
(1)
diffusion model
(1)
variational autoencoder
(1)
latent space
(1)
replay buffer
(1)
plasticity loss
(1)
sample efficiency
(1)
policy generalization
(1)
generative flow network
(1)
visual planning
(1)
model-free learning
(1)
deep reinforcement learning
(1)
Papers
Flow Factorization for Efficient Generative Flow Networks
AAAI 2025
Neuroplastic Expansion in Deep Reinforcement Learning
ICLR 2025
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
ICML 2025
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
CVPR 2024
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
UAI 2024
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
ICML 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
NeurIPS 2024