Text-based reinforcement learning agents have predominantly been neural
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In response to the global challenge of mental health problems, we propos...
Taking into account background knowledge as the context has always been ...
When providing the boundary conditions for hydrological flood models and...
We present Logical Optimal Actions (LOA), an action decision architectur...
Deep reinforcement learning (RL) methods often require many trials befor...
Testing self-driving cars in different areas requires surrounding cars w...
Conventional deep reinforcement learning methods are sample-inefficient ...
We present VisualHints, a novel environment for multimodal reinforcement...
We show that Reinforcement Learning (RL) methods for solving Text-Based ...
Planning is a critical component of any artificial intelligence system t...
This paper describes a framework called MaestROB. It is designed to make...