A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
New algorithm learns tasks from video demonstrations using proprioceptive information.
Current machine learning techniques proposed to automatically discover a robot kinematics usually rely on a priori information about the robot's structure, sensors properties or end-effector position. This paper proposes a method to estimate a certain aspect of the forward kinematics model with no such information. An …
Understanding how images of objects and scenes behave in response to specific ego-motions is a crucial aspect of proper visual development, yet existing visual learning methods are conspicuously disconnected from the physical source of their images. We propose to exploit proprioceptive motor signals to provide unsuperv…
Adversarial policies can defeat RL agents in multi-agent environments.
Director learns hierarchical behaviors from pixels, outperforming exploration methods.
This paper proposes IMU preintegrated features for efficient deep inertial odometry.
Unified Latent Dynamics unifies model-free and model-based reinforcement learning.
SynthER uses generative models to augment limited RL experience.