6 天前 - … In pursuit of autonomous vehicles, achieving human-like driving behavior is vital.
This … -deep reinforcement learning (C-DRL). AA aims to safely emulate human driving to …

8 天前 - … , where exposure to an agent’s behavior in various scenarios helps users intuitively
… Human Robot Interaction. For instance, one research group observed that watching a robot’…

10 天前 - … Collaborative intelligence formed via information and behavioral interactions of
multiple … -robot collaborative intelligent manufacturing as an example, we provide an in-depth …

14 天前 - … Sensors interpret human movement as the result of actions, gestures, or behaviors.
… forecast pedestrian behavior more comprehensively by recognizing human activity in …

14 天前 - … and machine learning, it will be able to mimic human-like visual system and
behaviour … In this paper, we present a stereo vision based 3-DOF robot which will be used to …

15 天前 - … to its actions but rather recovering behavior preferences and inherent intents that are
… through inverse reinforcement learning (IRL) [17,18], indicating that the behavior modeling …

17 天前 - … This means that machine learning can occur in the … , behavioral and other advanced
analytics. Artificial intelligence is a trainable computing structure that differs from human, …

20 天前 - … Their unique ability to simulate human behaviors helped to solve many complex
problems. … greatly improved thanNs to machine learning (ML), namely deep learning models. …

21 天前 - … human behaviors [16], and has recently been applied to MAS to support interpretation
and analysis of coordinated behavior [… MADDPG [12] is a classic reinforcement learning …

22 天前 - … (AI) in education tends to treat AI and its interactions to investigate human
behaviour in education separately. Instead, this paper delves deeply into Monica Bot’s unique …