Results 151 to 160 of about 580,002 (195)
Extinction as a function of size of goal box, reinforcement schedule, and competing responses [PDF]
, 1969 H. Willard Bradley, Roderick Wong
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Time-out from a short mean-interval variable-interval reinforcement schedule [PDF]
, 1969 John B. Carman
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International Conference on Computing Communication and Networking Technologies, 2023
Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for complex decision-making tasks. In this paper, we provide an overview of DRL, including its basic components, key algorithms and techniques, and applications in areas s.a.
Sahil Sharma +2 more
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Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for complex decision-making tasks. In this paper, we provide an overview of DRL, including its basic components, key algorithms and techniques, and applications in areas s.a.
Sahil Sharma +2 more
semanticscholar +1 more source
Reinforcement Learning: An Introduction
IEEE Trans. Neural Networks, 1998Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain ...
R. S. Sutton, A. Barto
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Reinforcer probability, reinforcer magnitude, and the reinforcement context for remembering.
Journal of Experimental Psychology: Animal Behavior Processes, 2009Traditional theories of delayed matching-to-sample performance do not predict that accuracy will improve when absolute levels of reinforcement are increased. This prediction emerges only when reinforcement context is considered (J. A. Nevin, M. Davison, A. L. Odum, & T. A. Shahan, 2007). To provide quantitative data, the authors factorially manipulated
K. Geoffrey White, Glenn S. Brown
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Reinforced variability decreases with approach to reinforcers.
Journal of Experimental Psychology: Animal Behavior Processes, 1996Anticipation of rewards had different effects on operant variability than on operant repetition. We reinforced variable (VAR) response sequences in groups of rats and pigeons and repetitive (REP) response sequences in separate groups. A fixed number of variations or repetitions was required per food reinforcer (e.g., fixed-ratio 4).
Colin Cherot +2 more
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Apprenticeship learning via inverse reinforcement learning
International Conference on Machine Learning, 2004We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we want to learn to perform. This setting is useful in applications (such as the
P. Abbeel, A. Ng
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Journal of Oral Rehabilitation, 1999
The material most commonly used for the fabrication of complete dentures is poly (methyl methacrylate) (PMMA). This material is not ideal in every respect and it is the combination of virtues rather than one single desirable property that accounts for its popularity and usage.
D. C. Jagger +2 more
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The material most commonly used for the fabrication of complete dentures is poly (methyl methacrylate) (PMMA). This material is not ideal in every respect and it is the combination of virtues rather than one single desirable property that accounts for its popularity and usage.
D. C. Jagger +2 more
openaire +3 more sources
2019
Reinforcement, or the strengthening of reproductive isolation in response to hybridization costs, is a case in which natural selection directly contributes to the origin of new species. From its conception, reinforcement has enjoyed alternate periods of enthusiasm and rejection, in which powerful verbal arguments identified obstacles that were ...
Arenas-Castro, Henry +3 more
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Reinforcement, or the strengthening of reproductive isolation in response to hybridization costs, is a case in which natural selection directly contributes to the origin of new species. From its conception, reinforcement has enjoyed alternate periods of enthusiasm and rejection, in which powerful verbal arguments identified obstacles that were ...
Arenas-Castro, Henry +3 more
openaire +2 more sources