Jinxin Liu
19 papers · 2020–2024 · 8 conferences · across top CS/AI conferences
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Conferences
NIPS (5)
ICML (4)
ICLR (3)
AAAI (2)
EMNLP (2)
ACL (1)
CORL (1)
IJCAI (1)
Top co-authors
Keywords
offline reinforcement learning
(5)
reinforcement learning
(3)
imitation learning
(2)
cross-domain learning
(2)
intrinsic reward
(2)
hardware design
(2)
few-shot learning
(1)
multi-task learning
(1)
deep reinforcement learning
(1)
transfer learning
(1)
independent component analysis
(1)
preference learning
(1)
data augmentation
(1)
in-context learning
(1)
paraphrase generation
(1)
policy optimization
(1)
unsupervised domain adaptation
(1)
test-time adaptation
(1)
semantic parsing
(1)
representation learning
(1)
Papers
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
ICML 2024
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
NIPS 2024
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
AAAI 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
CEIL: Generalized Contextual Imitation Learning
NIPS 2023
Behavior Proximal Policy Optimization
ICLR 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CORL 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
ICML 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
Beyond Reward: Offline Preference-guided Policy Optimization
ICML 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
NIPS 2023
Offline Imitation Learning with Variational Counterfactual Reasoning
NIPS 2023
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
ICLR 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
NIPS 2021
Independent Skill Transfer for Deep Reinforcement Learning
IJCAI 2020