13 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs
Giuseppe Canonaco, Alberto Pozanco, Daniel Borrajo
The concept of abstraction has been independently developed both in the context of AI Planning and discounted Markov Decision Processes (MDPs). However, the way abstractions are bu…
On Learning Action Costs from Input Plans
Marianela Morales, Alberto Pozanco, Giuseppe Canonaco +3
Most of the work on learning action models focus on learning the actions' dynamics from input plans. This allows us to specify the valid plans of a planning task. However, very lit…
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
Giuseppe Canonaco, Leo Ardon, Alberto Pozanco +1
The use of Potential-Based Reward Shaping (PBRS) has shown great promise in the ongoing research effort to tackle sample inefficiency in Reinforcement Learning (RL). However, choos…