Abstract Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-
playing bots or solving sequential decision problems. The method relies on intelligent tree …

Energy communities is a new, but already successful prosumer model of the local energy
systems' construction. It is based on distributed energy sources and the electricity …

Abstract Although Reinforcement Learning (RL) has been one of the most successful
approaches for learning in sequential decision making problems, the sample-complexity of …

Understanding and optimizing adolescent-specific engagement with behavior change
interventions will open doors for providers to promote healthy changes in an age group that …

Recent research has shown that non-additive image steganographic frameworks effectively
improve security performance through adjusting distortion distribution. However, as far as …

Intelligent game agents are crafted using AI technologies to mimic player behavior and
make decisions autonomously. Over the past decades, the scope of intelligent agents has …

The importance of efficient utilization of biomass as renewable energy in terms of global
warming and resource shortages are well known and documented. Biomass gasification is a …

The manipulation of an object into a desired location in a cluttered and restricted
environment requires reasoning over the long-term consequences of an action while …

There is considerable interest in applying reinforcement learning (RL) to improve machine
control across multiple industries, and the automotive industry is one of the prime examples …

As self-awareness is important to human higher level cognition so too is the ability to self-
model important to performing complex behaviors. The power of these self-models is one …