Results 51 to 60 of about 8,331,707 (294)
A novel policy for pre-trained deep reinforcement learning for speech emotion recognition
, 2022 Deep Reinforcement Learning (deep RL) has gained tremendous success in gaming but it has rarely been explored for Speech Emotion Recognition (SER). In the RL literature, policy used by the RL agent plays a major role in action selection, however, there ...
Rana, Rajib +10 more
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CoRR, 2018 Under review for Morgan & Claypool: Synthesis Lectures in Artificial Intelligence and Machine ...
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Reinforcement Learning with A* and a Deep Heuristic
CoRR, 2018 A* is a popular path-finding algorithm, but it can only be applied to those domains where a good heuristic function is known. Inspired by recent methods combining Deep Neural Networks (DNNs) and trees, this study demonstrates how to train a heuristic represented by a DNN and combine it with A*.
Ariel Keselman +3 more
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Body Language Analysis Based on Deep Reinforcement Learning [PDF]
ITM Web of ConferencesDeep learning has become one of the core technologies in current artificial intelligence research and application and has triggered revolutionary breakthroughs in many fields, demonstrating powerful learning ability and creativity.
Lu Boyang
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Deep reinforcement learning for imbalanced classification [PDF]
Applied Intelligence, 2020 Data in real-world application often exhibit skewed class distribution which poses an intense challenge for machine learning. Conventional classification algorithms are not effective in the case of imbalanced data distribution, and may fail when the data distribution is highly imbalanced.
Enlu Lin, Qiong Chen, Xiaoming Qi
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Applied Artificial Intelligence, 2023 Nowadays, mobile robots are being widely employed in various settings, including factories, homes, and everyday tasks. Achieving successful implementation of autonomous robot movement largely depends on effective route planning.
Jieren Tan
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A Deep Reinforcement Learning Chatbot
CoRR, 2017 40 pages, 9 figures, 11 ...
Iulian Vlad Serban +17 more
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Routing algorithms as tools for integrating social distancing with emergency evacuation
Scientific Reports, 2021 One of the lessons from the COVID-19 pandemic is the importance of social distancing, even in challenging circumstances such as pre-hurricane evacuation. To explore the implications of integrating social distancing with evacuation operations, we describe
Yi-Lin Tsai +3 more
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Understanding representation learning for deep reinforcement learning [PDF]
Representation learning is essential to practical success of reinforcement learning. Through a state representation, an agent can describe its environment to efficiently explore the state space, generalize to new states and perform credit assignment from
Le Lan, Charline
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Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations [PDF]
, 2022 Symbolic numbers are a remarkable product ofhuman cultural development. The developmentalprocess involved the creation and progressive re-finement of material representational tools, suchas notched tallies, knotted strings, and countingboards.
Petruzzellis, Flavio +3 more
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