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A collective AI via lifelong learning and sharing at the edge
One vision of a future artificial intelligence (AI) is where many separate units can learn
independently over a lifetime and share their knowledge with each other. The synergy …
independently over a lifetime and share their knowledge with each other. The synergy …
How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition
Lifelong reinforcement learning with temporal logic formulas and reward machines
X Zheng, C Yu, M Zhang - Knowledge-Based Systems, 2022 - Elsevier
Continuously learning new tasks using high-level ideas or knowledge is a key capability of
humans. In this paper, we propose lifelong reinforcement learning with sequential linear …
humans. In this paper, we propose lifelong reinforcement learning with sequential linear …
Run-time task composition with safety semantics
Compositionality is a critical aspect of scalable system design. Here, we focus on Boolean
composition of learned tasks as opposed to functional or sequential composition. Existing …
composition of learned tasks as opposed to functional or sequential composition. Existing …