Multi-task hierarchical adversarial inverse reinforcement learning
Abstract Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a
distribution of tasks based on multi-task expert demonstrations, which is essential for …
distribution of tasks based on multi-task expert demonstrations, which is essential for …
Optimizing delegation in collaborative human-ai hybrid teams
When humans and autonomous systems operate together as what we refer to as a hybrid
team, we of course wish to ensure the team operates successfully and effectively. We refer to …
team, we of course wish to ensure the team operates successfully and effectively. We refer to …
Optimizing delegation between human and AI collaborative agents
In the context of humans operating with artificial or autonomous agents in a hybrid team, it is
essential to accurately identify when to authorize those team members to perform actions …
essential to accurately identify when to authorize those team members to perform actions …
Dynamically balancing load with overload control for microservices
The microservices architecture simplifies application development by breaking monolithic
applications into manageable microservices. However, this distributed microservice “service …
applications into manageable microservices. However, this distributed microservice “service …
A unified algorithm framework for unsupervised discovery of skills based on determinantal point process
J Chen, V Aggarwal, T Lan - Advances in Neural …, 2024 - proceedings.neurips.cc
Learning rich skills under the option framework without supervision of external rewards is at
the frontier of reinforcement learning research. Existing works mainly fall into two distinctive …
the frontier of reinforcement learning research. Existing works mainly fall into two distinctive …
Optimizing Risk-averse Human-AI Hybrid Teams
We anticipate increased instances of humans and AI systems working together in what we
refer to as a hybrid team. The increase in collaboration is expected as AI systems gain …
refer to as a hybrid team. The increase in collaboration is expected as AI systems gain …
[PDF][PDF] Optimizing Delegation Between Human and AI Collaborative Agents
M Conti - sml.disi.unitn.it
In the context of humans operating with artificial or autonomous agents in a hybrid team, it is
essential to accurately identify when to authorize those team members to perform actions …
essential to accurately identify when to authorize those team members to perform actions …