Reinforcement Learning with Attention that Works: A Self-Supervised Approach
Authors:
- 5 December 2019
- book chapter
- Published by Springer Nature
- p. 223-230
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This publication has 8 references indexed in Scilit:
- Attention and Language Ensemble for Scene Text Recognition with Convolutional Sequence Modeling2018
- Explore Multi-Step Reasoning in Video Question Answering2018
- Attention-Aware Generative Adversarial Networks (ATA-GANs)2018
- A visual attention operator for playing Pac-Man2018
- Attention-via-Attention Neural Machine TranslationProceedings of the AAAI Conference on Artificial Intelligence, 2018
- Human-level control through deep reinforcement learningNature, 2015
- The Arcade Learning Environment: An Evaluation Platform for General AgentsJournal of Artificial Intelligence Research, 2013
- Perception and communication.1958