AIMC Topic: Reward

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Sharing Rewards Undermines Coordinated Hunting.

Journal of computational biology : a journal of computational molecular cell biology Jun 24, 2022
Coordinated hunting is widely observed in animals, and sharing rewards is often considered a major incentive for its success. While current theories about the role played by sharing in coordinated hunting are based on correlational evidence, we revea...
Animals Humans Reward Learning Algorithms Hunting Artificial Intelligence
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Exploring Potential Energy Surfaces Using Reinforcement Machine Learning.

Journal of chemical information and modeling Jun 16, 2022
Reinforcement machine learning is implemented to survey a series of model potential energy surfaces and ultimately identify the global minima point. Through sophisticated reward function design, the introduction of an optimizing target, and incorpora...
Reward Reinforcement, Psychology Machine Learning
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Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

IEEE transactions on neural networks and learning systems May 2, 2022
In this article, we consider a subclass of partially observable Markov decision process (POMDP) problems which we termed confounding POMDPs. In these types of POMDPs, temporal difference (TD)-based reinforcement learning (RL) algorithms struggle, as ...
Neural Networks, Computer Algorithms Markov Chains Reinforcement, Psychology Reward
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Biased Pressure: Cyclic Reinforcement Learning Model for Intelligent Traffic Signal Control.

Sensors (Basel, Switzerland) Apr 6, 2022
Existing inefficient traffic signal plans are causing traffic congestions in many urban areas. In recent years, many deep reinforcement learning (RL) methods have been proposed to control traffic signals in real-time by interacting with the environme...
Learning Reward Machine Learning
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Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.

IEEE transactions on neural networks and learning systems Apr 4, 2022
In this article, we propose a novel semicentralized deep deterministic policy gradient (SCDDPG) algorithm for cooperative multiagent games. Specifically, we design a two-level actor-critic structure to help the agents with interactions and cooperatio...
Learning Policy Algorithms Reward Neural Networks, Computer
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Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2022
Recent theoretical and experimental works have connected Hebbian plasticity with the reinforcement learning (RL) paradigm, producing a class of trial-and-error learning in artificial neural networks known as neo-Hebbian plasticity. Inspired by the ro...
Neural Networks, Computer Reward Reinforcement, Psychology Learning
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Using deep learning to predict human decisions and using cognitive models to explain deep learning models.

Scientific reports Mar 18, 2022
Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-dr...
Reward Decision Making Neural Networks, Computer Humans Cognition Deep Learning
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A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis.

ISA transactions Feb 25, 2022
Deep neural networks highly depend on substantial labeled samples when identifying bearing fault. However, in some practical situations, it is very difficult to collect sufficient labeled samples, which limits the application of deep neural networks ...
Reward Learning Neural Networks, Computer Reinforcement, Psychology
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Outracing champion Gran Turismo drivers with deep reinforcement learning.

Nature Feb 9, 2022
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical ma...
Video Games Reinforcement, Psychology Sports Competitive Behavior Automobile Driving Reward Deep Learning Humans
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Toward the biological model of the hippocampus as the successor representation agent.

Bio Systems Jan 29, 2022
The hippocampus is an essential brain region for spatial memory and learning. Recently, a theoretical model of the hippocampus based on temporal difference (TD) learning has been published. Inspired by the successor representation (SR) learning algor...
Reward Brain Hippocampus Artificial Intelligence Models, Biological
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