Jinxin Liu
19 papers · 2020–2024 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (34) π₯ Mega-Team Β· Squad
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Grand Slam
π₯
Mega-Team Β· Squad
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Dynamic Duo
(12)
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Deep Specialist
(10)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(91)
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Prolific Year Β· Productive
Top co-authors
Research topics
Reinforcement Learning
(14)
Methods
(12)
Machine Learning
(11)
Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(7)
Learning Types Β· Deep Learning
(6)
Application Areas
(5)
Natural Language Processing
(4)
Applications Β· Reinforcement Learning
(4)
Core AI
(4)
Learning Paradigms
(4)
Applications Β· Natural Language Processing
(2)
Architectures
(2)
Resources & Methods
(2)
Keywords
offline reinforcement learning
(9)
reinforcement learning
(3)
imitation learning
(2)
large language model
(2)
intrinsic reward
(2)
cross-domain learning
(2)
variational autoencoder
(2)
hardware design
(2)
multi-task learning
(1)
transfer learning
(1)
benchmark evaluation
(1)
independent component analysis
(1)
preference learning
(1)
data augmentation
(1)
deep reinforcement learning
(1)
test-time adaptation
(1)
policy optimization
(1)
semantic parsing
(1)
text generation
(1)
in-context learning
(1)
Papers
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
AAAI 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
ICML 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
ACL 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
ICLR 2024
Reinformer: Max-Return Sequence Modeling for Offline RL
ICML 2024
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
NeurIPS 2024
Behavior Proximal Policy Optimization
ICLR 2023
Beyond Reward: Offline Preference-guided Policy Optimization
ICML 2023
CEIL: Generalized Contextual Imitation Learning
NeurIPS 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
ICML 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CoRL 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
NeurIPS 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
NeurIPS 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
ICLR 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
NeurIPS 2021
Independent Skill Transfer for Deep Reinforcement Learning
IJCAI 2020