FIELD NOTES TOPIC
model predictive control
2 notes, newest first.
Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL
The paper proposes a method to integrate robot locomotion and manipulation using Reinforcement Learning (RL) and Sample-based Model Predictive Control (SMPC). The approach generates offline datasets from SMPC…
AdaJEPA: An Adaptive Latent World Model
The paper proposes a new adaptive latent world model called AdaJEPA that can improve planning accuracy by continuously recalibrating the world model during test-time, particularly when dealing with distribution shift…
