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Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Title
Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Author
Pattnaik, Upasana
Date Created
2021
Description
Feedback driven deep reinforcement learning methodologies are widely favoured approaches to solving artificial intelligence problems. The algorithms navigate complex decision-making tasks without manual state space engineering. Notable problems co...
Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Title
Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Author
Pattnaik, Upasana
Date Created
2021
Subjects--Topical
Computer science, Artificial intelligence
Description
Feedback driven deep reinforcement learning methodologies are widely favoured approaches to solving artificial intelligence problems. The algorithms navigate complex decision-making tasks without manual state space engineering. Notable problems co...