Abstract—To design appropriate actions of mobile robots, the designers usually observe the sensory signals on the robots and.
In this article, we propose a novel learning algorithm, Fused Behavior Q-Learning algorithm (FBQL) to deal with such situations. The proposed algorithm has the ...
Behavioral-fusion control based on reinforcement learning
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In this article, we propose a novel learning algorithm, fused behavior Q-learning algorithm (FBQL) to deal with such situations. The proposed algorithm has the ...
This article is the first to study the problem of how to combine multiple pre-trained homomorphy models (ACs) into a more complex one based on the policy ...
For this purpose, this study proposes a behavior fusion method based on adversarial IRL. We decompose complex tasks into several simple subtasks according to ...
Apr 7, 2023 · We present Bayesian Controller Fusion (BCF): a hybrid control strategy that combines the strengths of traditional hand-crafted controllers ...
Oct 10, 2022 · This paper proposes a multiagent deep reinforcement learning (MADRL)-based fusion-multiactor-attention-critic (F-MAAC) model for multiple UAVs' ...
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Apr 21, 2021 · This use case is about training NPCs that exhibit certain behavioral styles specified and controlled by developers. For example, designers may ...
For deep reinforcement learning (DRL) system, it is difficult to design a reward function for complex tasks, so this paper proposes a framework of behavior ...
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Request PDF | A Behavior Fusion Method Based on Inverse Reinforcement Learning | Inverse reinforcement learning (IRL) is usually used in deep reinforcement ...