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121
On Reinforcement Learning, Effect Handlers, and the State Monad ...
Abstract: We study the algebraic effects and handlers as a way to support decision-making abstractions in functional programs, whereas a user can ask a learning algorithm to resolve choices without implementing the underlying selection mechanism, and give a feedback by way of rewards. Differently from some recently proposed approach to the problem based on the selection monad [Abadi and Plotkin, LICS 2021], we express the underlying intelligence as a reinforcement learning algorithm implemented as a set of handlers for some of these algebraic operations, including those for choices and rewards. We show how we can in practice use algebraic operations and handlers -- as available in the programming language EFF -- to clearly separate the learning algorithm from its environment, thus allowing for a good level of modularity. We then show how the host language can be taken as a lambda-calculus with handlers, this way showing what the essential linguistic features are. We conclude by hinting at how type and effect systems ...
Keyword: FOS Computer and information sciences; Logic in Computer Science cs.LO; Machine Learning cs.LG; Programming Languages cs.PL
URL: https://arxiv.org/abs/2203.15426
https://dx.doi.org/10.48550/arxiv.2203.15426
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122
On the Importance of Data Size in Probing Fine-tuned Models ...
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123
A 23 MW data centre is all you need ...
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124
Graph Neural Networks: a bibliometrics overview ...
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125
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition ...
Chen, Chengxin; Zhang, Pengyuan. - : arXiv, 2022
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126
Fine-grained Noise Control for Multispeaker Speech Synthesis ...
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127
Emotion Intensity and its Control for Emotional Voice Conversion ...
Zhou, Kun; Sisman, Berrak; Rana, Rajib. - : arXiv, 2022
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128
Dawn of the transformer era in speech emotion recognition: closing the valence gap ...
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129
Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective ...
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130
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps ...
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131
Reproducible Subjective Evaluation ...
Morrison, Max; Tang, Brian; Tan, Gefei. - : arXiv, 2022
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132
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex ...
Lin, Chun-Hsien; Cheng, Pu-Jen. - : arXiv, 2022
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133
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach ...
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134
Application of Quantum Density Matrix in Classical Question Answering and Classical Image Classification ...
Zhao, X. Q.; Wan, H.; Chen, H.. - : arXiv, 2022
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135
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ...
Le, Thai; Lee, Jooyoung; Yen, Kevin. - : arXiv, 2022
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136
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios ...
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137
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback ...
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138
Counterfactual Explanations for Natural Language Interfaces ...
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139
Uniform Complexity for Text Generation ...
Imperial, Joseph Marvin. - : arXiv, 2022
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140
Probing Speech Emotion Recognition Transformers for Linguistic Knowledge ...
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