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Found 6 papers, 2 papers with code
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
In the second approach, we distill the specialist skills into a Transformer-based generalist locomotion policy, named Locomotion-Transformer, that can handle various terrains and adjust the robot's gait based on the perceived environment and robot states.
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for generative sampling.
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
This presents an interesting machine learning challenge: can we predict runtime errors in a "static" setting, where program execution is not possible?
Swift for TensorFlow: A portable, flexible platform for deep learning
Swift for TensorFlow is a deep learning platform that scales from mobile devices to clusters of hardware accelerators in data centers.
Learning Dexterous Manipulation from Suboptimal Experts
Although in many cases the learning process could be guided by demonstrations or other suboptimal experts, current RL algorithms for continuous action spaces often fail to effectively utilize combinations of highly off-policy expert data and on-policy exploration data.
Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Deep learning has seen tremendous success over the past decade in computer vision, machine translation, and gameplay.
