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STEP-RL develops a new method for temporal planning in artificial intelligence that balances efficiency and flexibility. By utilizing reinforcement learning, this approach aims to create a domain-independent planner that adapts and improves over time, making it suitable for various applications such as robotics and log…
Planning - devising a strategy to achieve a desired objective - is one of the basic forms of intelligence.
Temporal planning studies the automated synthesis of strategies when time and temporal constraints matter.
Temporal planning is one of the most strategic fields of Artificial Intelligence, with applications in autonomous robotics, logistics, flexible production, and many other fields.Historically, the research on temporal planning follows a general-purpose framework: a generic engine search…
FONDAZIONE BRUNO KESSLER
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