Haohong Lin
Haohong Lin
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BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinfocement Learning
NeurIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Assembly
ICRA 2024
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
RA-L 2024
Datasets and Benchmarks for Offline Safe Reinforcement Learning
DMLR
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
NeurIPS 2022
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
CoRL 2022
Rethinking Controllable Variational Autoencoders
CVPR 2022
Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration
ICML 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning
Controllable and Diverse Text Generation in E-commerce
WWW 2021
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