Haohong Lin
Haohong Lin
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Causal Composition Diffusion Model for Closed-loop Traffic Simulation
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinfocement Learning
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Assembly
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
Rethinking Controllable Variational Autoencoders
Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration
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