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06/03/2022
Option Discovery for Autonomous Generation of Symbolic Knowledge
In this work we present an empirical study where we demonstrate the poss...
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05/16/2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies
Autonomous open-ended learning is a relevant approach in machine learnin...
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11/27/2020
Autonomous learning of multiple, context-dependent tasks
When facing the problem of autonomously learning multiple tasks with rei...
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07/18/2019
Learning High-Level Planning Symbols from Intrinsically Motivated Experience
In symbolic planning systems, the knowledge on the domain is commonly pr...
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06/04/2019
Autonomous Reinforcement Learning of Multiple Interrelated Tasks
Autonomous multiple tasks learning is a fundamental capability to develo...
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05/07/2019
