While learning a heuristic function for forward search algorithms with m...
Balancing exploration and exploitation has been an important problem in ...
This article is written for pedagogical purposes aiming at practitioners...
The symbolic AI community is increasingly trying to embrace machine lear...
Width-based planning has shown promising results on Atari 2600 games usi...
Recent advances in reinforcement learning (RL) have led to a growing int...
Current domain-independent, classical planners require symbolic models o...
In this paper, we propose an unsupervised neural model for learning a
di...
We achieved a new milestone in the difficult task of enabling agents to ...
Recent work on Neural-Symbolic systems that learn the discrete planning ...
While classical planning has been an active branch of AI, its applicabil...
Recently, there is an increasing interest in obtaining the relational
st...
In this report, we introduce an artificial dataset generator for
Photo-r...
We propose a permutation-invariant loss function designed for the neural...
Current domain-independent, classical planners require symbolic models o...