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NeuroCUT: A Neural Approach for Robust Graph Partitioning
Second, we decouple the parameter space and the partition count making NeuroCUT inductive to any unseen number of partition, which is provided at query time.
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
Reward shaping is a common approach for incorporating domain knowledge into reinforcement learning in order to speed up convergence to an optimal policy.
Deep R-Learning for Continual Area Sweeping
Coverage path planning is a well-studied problem in robotics in which a robot must plan a path that passes through every point in a given area repeatedly, usually with a uniform frequency.
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report
RoboCup@Home is an international robotics competition based on domestic tasks requiring autonomous capabilities pertaining to a large variety of AI technologies.
