3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.AI2021
Hierarchical Width-Based Planning and Learning
Miquel Junyent, Vicenç Gómez, Anders Jonsson
Width-based search methods have demonstrated state-of-the-art performance in a wide range of testbeds, from classical planning problems to image-based simulators such as Atari game…
cs.AI2019★ 3 cited
Deep Policies for Width-Based Planning in Pixel Domains
Miquel Junyent, Anders Jonsson, Vicenç Gómez
Width-based planning has demonstrated great success in recent years due to its ability to scale independently of the size of the state space. For example, Bandres et al. (2018) int…
cs.AI2018★ 1 cited
Improving width-based planning with compact policies
Miquel Junyent, Anders Jonsson, Vicenç Gómez
Optimal action selection in decision problems characterized by sparse, delayed rewards is still an open challenge. For these problems, current deep reinforcement learning methods r…