2 papers
cs.RO2026
Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks
Zhihong Liu, Yang Li, Rengming Huang +2
Open world language conditioned task planning is crucial for robots operating in large-scale household environments. While many recent works attempt to address this problem using L…
cs.LG2024
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation
Zhihong Liu, Long Qian, Zeyang Liu +3
Decision Transformer (DT) can learn effective policy from offline datasets by converting the offline reinforcement learning (RL) into a supervised sequence modeling task, where the…