AIMC Topic: Reward

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Goals, usefulness and abstraction in value-based choice.

Trends in cognitive sciences Nov 26, 2022
Colombian drug lord Pablo Escobar, while on the run, purportedly burned two million dollars in banknotes to keep his daughter warm. A stark reminder that, in life, circumstances and goals can quickly change, forcing us to reassess and modify our valu...
Artificial Intelligence Reward Choice Behavior Goals Decision Making Brain Mapping Brain
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Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments.

IEEE transactions on cybernetics Nov 18, 2022
This article proposes robust inverse Q -learning algorithms for a learner to mimic an expert's states and control inputs in the imitation learning problem. These two agents have different adversarial disturbances. To do the imitation, the learner mus...
Algorithms Reward Neural Networks, Computer
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Deep Reinforcement Learning for the Detection of Abnormal Data in Smart Meters.

Sensors (Basel, Switzerland) Nov 6, 2022
The rapidly growing power data in smart grids have created difficulties in security management. The processing of large-scale power data with the use of artificial intelligence methods has become a hotspot research topic. Considering the early warnin...
Algorithms Reward Artificial Intelligence Reinforcement, Psychology
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Orientation-Preserving Rewards' Balancing in Reinforcement Learning.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Auxiliary rewards are widely used in complex reinforcement learning tasks. However, previous work can hardly avoid the interference of auxiliary rewards on pursuing the main rewards, which leads to the destruction of the optimal policy. Thus, it is c...
Computer Simulation Learning Neural Networks, Computer Reinforcement, Psychology Reward
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The Influence of Robots' Fairness on Humans' Reward-Punishment Behaviors and Trust in Human-Robot Cooperative Teams.

Human factors Oct 11, 2022
OBJECTIVE: Based on social exchange theory, this study investigates the effects of robots' fairness and social status on humans' reward-punishment behaviors and trust in human-robot interactions.
Reward Punishment Altruism Trust Robotics Humans
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Socially situated artificial intelligence enables learning from human interaction.

Proceedings of the National Academy of Sciences of the United States of America Sep 19, 2022
Regardless of how much data artificial intelligence agents have available, agents will inevitably encounter previously unseen situations in real-world deployments. Reacting to novel situations by acquiring new information from other people-socially s...
Artificial Intelligence Reinforcement, Psychology Reward Humans Social Norms Social Interaction
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Flexible control as surrogate reward or dynamic reward maximization.

Cognition Sep 11, 2022
The utility of a given experience, like interacting with a particular friend or tasting a particular food, fluctuates continually according to homeostatic and hedonic principles. Consequently, to maximize reward, an individual must be able to escape ...
Personality Artificial Intelligence Choice Behavior Reward Humans
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Value-free random exploration is linked to impulsivity.

Nature communications Aug 4, 2022
Deciding whether to forgo a good choice in favour of exploring a potentially more rewarding alternative is one of the most challenging arbitrations both in human reasoning and in artificial intelligence. Humans show substantial variability in their e...
Impulsive Behavior Reward Artificial Intelligence Computer Simulation Humans
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Application of Deep Reinforcement Learning to NS-SHAFT Game Signal Control.

Sensors (Basel, Switzerland) Jul 14, 2022
Reinforcement learning (RL) with both exploration and exploit abilities is applied to games to demonstrate that it can surpass human performance. This paper mainly applies Deep Q-Network (DQN), which combines reinforcement learning and deep learning ...
Reward Reinforcement, Psychology Humans Neural Networks, Computer
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Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.

Sensors (Basel, Switzerland) Jun 29, 2022
In the autonomous driving process, the decision-making system is mainly used to provide macro-control instructions based on the information captured by the sensing system. Learning-based algorithms have apparent advantages in information processing a...
Automobile Driving Algorithms Neural Networks, Computer Reward Reinforcement, Psychology
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