Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate...
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Richard S. Sutton (category Machine learning researchers)
computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods...
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2018, §6. Temporal-Difference Learning. Bradtke, Steven J.; Barto, Andrew G. (1996). "Learning to predict by the method of temporal differences". Machine...
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value ⏟ new value (temporal difference target) ) {\displaystyle Q^{new}(S_{t},A_{t})\leftarrow (1-\underbrace {\alpha } _{\text{learning rate}})\cdot \underbrace...
29 KB (3,835 words) - 15:13, 21 April 2025
near the expert level. Its neural network was trained using temporal difference learning applied to data generated from self-play. According to assessments...
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TD-Gammon (category Applied machine learning)
fact that it is an artificial neural net trained by a form of temporal-difference learning, specifically TD-Lambda. It explored strategies that humans had...
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Generalization Meta-learning Inductive bias Metadata Reinforcement learning Q-learning State–action–reward–state–action (SARSA) Temporal difference learning (TD) Learning...
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search for better parameter values; some papers used temporal difference reinforcement learning. Dickey, Megan Rose (23 March 2014). "Puzzle Game 2048...
28 KB (2,480 words) - 10:55, 12 June 2025
Therefore, some people can be more accurately described as having a "learning difference", thus avoiding any misconception of being disabled with a possible...
92 KB (10,781 words) - 20:53, 14 June 2025
KnightCap, introduced in the late 1990s, was an experiment in temporal difference learning as applied to chess. This technique allowed KnightCap to automatically...
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visual cortex (ConvNet) and reinforcement learning inspired by the basal ganglia (Temporal difference learning). Notable affinity groups have emerged from...
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Times. Retrieved 8 June 2016. Tesauro, Gerald (March 1995). "Temporal difference learning and TD-Gammon". Communications of the ACM. 38 (3): 58–68. doi:10...
33 KB (1,764 words) - 05:08, 20 May 2025
accessed again, the time difference will be sent to the reuse distance predictor. The RDP uses temporal difference learning, where the new RDP value will...
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play world-class backgammon partly by playing against itself (temporal difference learning with neural networks). Serenata de Amor, project for the analysis...
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by ESRO Technical drawing, a term used in the design process Temporal difference learning, a prediction method Terrestrial Dynamical time, an obsolete...
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Multilevel Monte Carlo method Quasi-Monte Carlo method Sobol sequence Temporal difference learning Kalos & Whitlock 2008. Kroese, D. P.; Brereton, T.; Taimre, T...
91 KB (10,690 words) - 23:18, 29 April 2025
Alexander WH, Brown JW (June 2010). "Hyperbolically discounted temporal difference learning". Neural Computation. 22 (6): 1511–1527. doi:10.1162/neco.2010...
110 KB (10,169 words) - 15:04, 12 June 2025
{\displaystyle u(x)} . The critic and actor are trained iteratively using temporal difference learning or gradient descent to satisfy the Hamilton-Jacobi-Bellman (HJB)...
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Temporal anti-aliasing (TAA), also known as TXAA (a proprietary technology) or TMAA/TSSAA (Temporal Super-Sampling Anti-Aliasing), is a spatial anti-aliasing...
5 KB (598 words) - 23:08, 29 May 2025
Proximal policy optimization (category Machine learning algorithms)
collection and computation can be costly. Reinforcement learning Temporal difference learning Game theory Schulman, John; Levine, Sergey; Moritz, Philipp;...
17 KB (2,504 words) - 18:57, 11 April 2025
Viking. ISBN 9781101218884. Tesauro, Gerald (1 March 1995). "Temporal difference learning and TD-Gammon". Communications of the ACM. 38 (3): 58–68. doi:10...
26 KB (3,081 words) - 21:13, 8 May 2025
State–action–reward–state–action (category Machine learning algorithms)
mapping Constructing skill trees Q-learning Temporal difference learning Reinforcement learning Online Q-Learning using Connectionist Systems" by Rummery...
6 KB (716 words) - 19:17, 6 December 2024
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...
53 KB (6,685 words) - 14:14, 8 June 2025
Gerald Tesauro (category Reinforcement learning)
world-championship level through self-play and temporal difference learning, an early success in reinforcement learning and neural networks. He subsequently researched...
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the same/similar information. Therefore, for a dynamic system, a temporal difference in its embeddings may be explained by misalignment of embeddings...
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1126/science.aar6404. PMID 30523106. Tesauro, Gerald (March 1995). "Temporal Difference Learning and TD-Gammon". Communications of the ACM. 38 (3): 58–68. doi:10...
19 KB (2,436 words) - 11:41, 25 May 2025
Tesauro, Gerald (May 1, 1992). "Practical issues in temporal difference learning". Machine Learning. 8 (3–4): 257–277. doi:10.1007/BF00992697. Shi-Jim...
37 KB (2,837 words) - 00:34, 31 May 2025
neuroscientists, because an influential computational-learning method known as temporal difference learning makes heavy use of a signal that encodes prediction...
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language (ISO 639-3 code: tdl), a Plateau language of Nigeria Temporal difference learning (TD), a prediction method Tunneled Direct Link Setup (TDLS) Two...
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Additionally this difference in processing rate was found to be related to the volume of rate-related cortex in the gyri; right transverse temporal gyri were...
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