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Found 5 papers, 1 papers with code
PICO: Primitive Imitation for COntrol
In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO.
High-Speed Robot Navigation using Predicted Occupancy Maps
Safe and high-speed navigation is a key enabling capability for real world deployment of robotic systems.
Complex Terrain Navigation via Model Error Prediction
Robot navigation traditionally relies on building an explicit map that is used to plan collision-free trajectories to a desired target.
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time.
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
The dataset is composed of both real and synthetic videos from seven gesture classes, and is intended to support the study of synthetic-to-real domain shift for video-based action recognition.
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