research
∙
06/29/2023
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios
The development of plans of action in disaster response scenarios is a t...
share
research
∙
05/01/2023
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions
This paper describes a methodology for learning flight control systems f...
research
∙
02/25/2021
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations
In the field of human-robot interaction, teaching learning agents from h...
research
∙
11/01/2019
PODNet: A Neural Network for Discovery of Plannable Options
Learning from demonstration has been widely studied in machine learning ...
research
∙
10/09/2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments
This paper investigates how to efficiently transition and update policie...
research
∙
09/11/2019
On Memory Mechanism in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) extends (single-agent) reinfor...
research
∙
03/25/2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
In autonomous embedded systems, it is often vital to reduce the amount o...
research
∙
10/26/2018
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
This paper investigates how to utilize different forms of human interact...
research
∙
09/13/2018
Coordination-driven learning in multi-agent problem spaces
We discuss the role of coordination as a direct learning objective in mu...
research
∙
08/28/2018
Cycle-of-Learning for Autonomous Systems from Human Interaction
We discuss different types of human-robot interaction paradigms in the c...
research
∙
07/23/2018
Measuring collaborative emergent behavior in multi-agent reinforcement learning
Multi-agent reinforcement learning (RL) has important implications for t...
research
∙
03/12/2018