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The techniquePeriodical literature
A system is described which learns to compose sequences of operators into episodes for problem solving. The system incrementally learns when and why operators are applied. Episodes are segmented so that they are generalizable and reusable. The idea of augmenting the instance language with higher level concepts is introduced. The technique of perturbation is described for discovering the essential features for a rule with minimal teacher guidance. The approach is applied to the domain of solving simultaneous linear equations
This paper describes the integration of analogical reasoning into general problem solving as a metho...
We consider the problem of how a learn-ing agent in a continuous and dynamic world can autonomously ...
This paper discusses a system that accelerates reinforcement learning by using transfer from related...
Learning to problem solve requires acquiring multiple forms of knowledge. Problem solving is viewed ...
In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. I...
We discuss a method of learning by practice based on the idea of determining classes of problems tha...
Abstract. Fluents are logical descriptions of situations that persist, and composite uents are stati...
In continual learning (CL), an agent learns from a stream of tasks leveraging prior experience to tr...
This paper presents an approach to problem solving through imitation. It introduces the Statistical ...
The problem of structuring sequences of instructional stimuli such that learning is optimized is mod...
This paper explores the use of learning as a practical tool in problem solving. The idea that learn...
Learning systems represent an approach to optimal control law design for situations where initial mo...
International audienceSequences of events describing the behavior and actions of agents or systems c...
Sequential composition is an effective supervisory control scheme for addressing control problems in...
Learning reusable sequences can support the development of expertise in many domains, either by impr...
This paper describes the integration of analogical reasoning into general problem solving as a metho...
We consider the problem of how a learn-ing agent in a continuous and dynamic world can autonomously ...
This paper discusses a system that accelerates reinforcement learning by using transfer from related...
Learning to problem solve requires acquiring multiple forms of knowledge. Problem solving is viewed ...
In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. I...
We discuss a method of learning by practice based on the idea of determining classes of problems tha...
Abstract. Fluents are logical descriptions of situations that persist, and composite uents are stati...
In continual learning (CL), an agent learns from a stream of tasks leveraging prior experience to tr...
This paper presents an approach to problem solving through imitation. It introduces the Statistical ...
The problem of structuring sequences of instructional stimuli such that learning is optimized is mod...
This paper explores the use of learning as a practical tool in problem solving. The idea that learn...
Learning systems represent an approach to optimal control law design for situations where initial mo...
International audienceSequences of events describing the behavior and actions of agents or systems c...
Sequential composition is an effective supervisory control scheme for addressing control problems in...
Learning reusable sequences can support the development of expertise in many domains, either by impr...
This paper describes the integration of analogical reasoning into general problem solving as a metho...
We consider the problem of how a learn-ing agent in a continuous and dynamic world can autonomously ...
This paper discusses a system that accelerates reinforcement learning by using transfer from related...
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