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Found 5 papers, 2 papers with code
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
We find that VLM-RMs are remarkably robust as long as the VLM is large enough.
Meta-Learning via Classifier(-free) Diffusion Guidance
Our methods repurpose the popular generative image synthesis techniques of natural language guidance and diffusion models to generate neural network weights adapted for tasks.
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
For the deformable solid simulation of the swimmer's body, we use state-of-the-art techniques from the field of computer graphics to speed up the finite-element method (FEM).
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
In Bayesian Optimization (BO) we study black-box function optimization with noisy point evaluations and Bayesian priors.
Sim2Real for Soft Robotic Fish via Differentiable Simulation
Accurate simulation of soft mechanisms under dynamic actuation is critical for the design of soft robots.
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