temporal difference learning method
Self Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning
... the learning pro- gram observed another program that still needed to select ...and learning from a single game. Therefore learning from database games could still be advantageous compared to ...
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Evolutionary Function Approximation for Reinforcement Learning
... Temporal difference methods are theoretically grounded and empirically effective methods for ad- dressing reinforcement learning ...reinforcement learning tasks, TD methods require a function ...
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An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning
... (TD) learning is perhaps the most important idea to come out of the field of reinforcement ...efficiently learning to make a sequence of long-term predictions about how a dynamical system will evolve over ...
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Control of Multivariable Systems Based on Emotional Temporal Difference Learning Controller
... approximate method for selecting good actions when uncertainties and limitations of computational resources render fully rational decision-making based on Bellman-Jacobi recursions ...
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Temporal difference Learning with Sampling Baseline for Image Captioning
... inforcement learning into the standard encoder-decoder framework to address the exposure bias and the non- differentiable metric ...training method at sequence level direct- ly optimizing the ...
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On Generalized Bellman Equations and Temporal-Difference Learning
... For policy evaluation, the Retrace algorithm (Munos et al., 2016) and the ABQ algorithm (Mahmood et al., 2017) are very similar (ABQ was actually developed independently of Retrace before the Munos et al. (2016) paper ...
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Learning Timeline Difference for Text Categorization
... We have presented a method for text catego- rizaiton that minimizes the impact of temporal ef- fects. The results using Japanese Mainichi News- paper corpus show that it works well for cate- gorization, ...
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An Object Tracking Method Combined Spatio temporal Context Learning with Color Features
... In DAVID sequences, the tracking results of the proposed algorithm and the STC tracking method are almost the same when the object is in dark environment, both algorithms can track the object accurately. With the ...
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Experience Selection in Deep Reinforcement Learning for Control
... reinforcement learning, as well as the eventual performance of the learned policy, are strongly dependent on the expe- riences being ...age, temporal difference error and the strength of the applied ...
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A Complementary Learning Systems approach to Temporal Difference Learning
... Future work will need to investigate whether the increased ro- bustness and performance of CTDL in continuous state and action spaces is a general property that extends to more complex do- mains. In particular, it would ...
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Automatic monitoring method of cow ruminant behavior based on spatio-temporal context learning
... this method, the moving regions in the image are extracted by using closed value based on time difference between two adjacent frames and the third ...the method cannot extract the whole region of ...
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The Method of Finite Difference Regression
... Finite Difference Regression method as detailed in Section ...the difference between the estimate and the actual value is ...non-zero difference between the estimate and the actual value ...
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Learn to Human-level Control in Dynamic Environment Using Incremental Batch Interrupting Temporal Abstraction
... forcement learning agent requires more and more time, computation and information to learning and make ...for temporal decision making ...reinforcement learning to make decisions ...
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Design of a Home Surveillance System Based on the Android Platform Shejwal Bhavna, Mojad Deepika, Gite Shivani,Gaikwad Pranita
... 3) Optical flow: The optical flow method uses the motion target of the vector characteristics which changed with time to detect motion area in image sequences. It gives better performance under the moving camera, ...
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A Scalable Morphological Algorithm for Motion Detection in Surveillance System
... Abstract— The main objective of motion tracking is to detect and track moving objects through a sequence of images. In this paper, we propose a novel method for detecting the motion of a particular object being ...
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True Online Temporal-Difference Learning
... The temporal-difference methods TD( λ ) and Sarsa( λ ) form a core part of modern rein- forcement ...the learning speed of the true online methods are often better, but never worse than that of the ...
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Impact of Active Learning Method on Students Academic Achievement in Physics at Secondary School Level in Pakistan
... Ausubelian method of teach- ing was found successful as compared to traditional teaching ...phase method was found su- perior in enhancing the performance of students in physics achievement ...cooperative ...
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The Effect of Cooperative Learning on Reading Comprehension and Reading Anxiety of Pre-University Students
... significant difference between the mean scores of the experimental and control groups and it was observed that cooperative learning method applied in experimental group had a higher effect on reading ...
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Does the Difference Make a Difference? Reflections on E-Learning
... Stated in a different way: The flexibility of a web site is both its ad- vantage and disadvantage. It is nice to know that there are constantly updated versions of the book on-line – but it is probably equally frustra- ...
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Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks
... the learning process. Technically, for each learning iteration of the network, dropout method randomly selects (based on a predefined probability, which is usually 50%) a set of neurons that: (i) do ...
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