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Huanli Gao, Wei Li, He Cai and Zekai Gu
In this paper, we consider the distributed polynomial path tracking problem for a swarm of autonomous underwater vehicles (AUVs) modeled by second-order uncertain multi-agent systems. The application scenario of this paper has three distinguished charact...
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Smita Mahajan, Shruti Patil, Moinuddin Bhavnagri, Rashmi Singh, Kshitiz Kalra, Bhumika Saini, Ketan Kotecha and Jatinderkumar Saini
This paper aims at analyzing the performance of reinforcement learning (RL) agents when trained in environments created by a generative adversarial network (GAN). This is a first step towards the greater goal of developing fast-learning and robust RL age...
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Sadeeb Simon Ottenburger, Stella Möhrle, Tim Oliver Müller and Wolfgang Raskob
In the context of the energy transition, sound decision making regarding the development of renewable energy systems faces various technical and societal challenges. In addition to climate-related uncertainties affecting technical issues of reliable grid...
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Chen-Huan Pi, Wei-Yuan Ye and Stone Cheng
In this paper, a novel control strategy is presented for reinforcement learning with disturbance compensation to solve the problem of quadrotor positioning under external disturbance. The proposed control scheme applies a trained neural-network-based rei...
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Casey C. Bennett
This paper discusses the creation of an agent-based simulation model for interactive robotic faces, built based on data from physical human?robot interaction experiments, to explore hypotheses around how we might create emergent robotic personality trait...
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