Add to ORKGThe process of mammalian predatory sequence development offers a number of insights rele-vant to the goal of designing synthetic characters that can quickly and easily learn complicated and interesting behavior. We propose a number of principles for designing such learning sys-tems, inspired by a targeted review of animal developmental phenomena, with particular emphasis on the development of predatory behavior in certain felid and canid species. We describe the implementation of a few of these principles as an extension to a popular algo-rithm for learning in autonomous systems called hierarchical Q-learning. In this new approach, the agent starts out with only one skill, and then new skills are added one at a time to its available reperto...
The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Gen...
Instrumental (or operant) conditioning, a form of animal learning, is similar to reinforcement learn...
Abstract. A teaching methodology called Imitative-Reinforcement-Corrective (IRC) learning is describ...
Abstract — This paper proposes a novel behavior selection mechanism and interactive learning method ...
This work describes a computational model, which can be used to simulate learning in animals. Model ...
We present an architecture for autonomous creatures that allows learning to be combined with action ...
Abstract. A generic predator/prey pursuit scenario is used to validate a common learning approach us...
Despite games often being used as a testbed for new computational intelligence techniques, the ma-jo...
We provide a computationally tractable model of how organisms can learn to add structures to the wor...
Summary : Chaining processes underlying serial learning in vertebrates Serial learning has been stud...
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor...
Sequence learning allows the encoding of the properties of event sequences, discriminating series co...
Rule learning involves the ability to detect and generalize rule-like identity patterns, such as tho...
Sequence learning involves the ability to encode the properties of event sequences, discriminating s...
This paper constitutes a sequel to our previous work focused on investigating cooperative behaviors...
The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Gen...
Instrumental (or operant) conditioning, a form of animal learning, is similar to reinforcement learn...
Abstract. A teaching methodology called Imitative-Reinforcement-Corrective (IRC) learning is describ...
Abstract — This paper proposes a novel behavior selection mechanism and interactive learning method ...
This work describes a computational model, which can be used to simulate learning in animals. Model ...
We present an architecture for autonomous creatures that allows learning to be combined with action ...
Abstract. A generic predator/prey pursuit scenario is used to validate a common learning approach us...
Despite games often being used as a testbed for new computational intelligence techniques, the ma-jo...
We provide a computationally tractable model of how organisms can learn to add structures to the wor...
Summary : Chaining processes underlying serial learning in vertebrates Serial learning has been stud...
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor...
Sequence learning allows the encoding of the properties of event sequences, discriminating series co...
Rule learning involves the ability to detect and generalize rule-like identity patterns, such as tho...
Sequence learning involves the ability to encode the properties of event sequences, discriminating s...
This paper constitutes a sequel to our previous work focused on investigating cooperative behaviors...
The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Gen...
Instrumental (or operant) conditioning, a form of animal learning, is similar to reinforcement learn...
Abstract. A teaching methodology called Imitative-Reinforcement-Corrective (IRC) learning is describ...