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05/11/2023
Optimizing Memory Mapping Using Deep Reinforcement Learning
Resource scheduling and allocation is a critical component of many high ...
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02/14/2022
MuZero with Self-competition for Rate Control in VP9 Video Compression
Video streaming usage has seen a significant rise as entertainment, educ...
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02/08/2022
Competition-Level Code Generation with AlphaCode
Programming is a powerful and ubiquitous problem-solving tool. Developin...
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04/13/2021
Learning and Planning in Complex Action Spaces
Many important real-world problems have action spaces that are high-dime...
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04/13/2021
Online and Offline Reinforcement Learning by Planning with a Learned Model
Learning efficiently from small amounts of data has long been the focus ...
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07/24/2020
Monte-Carlo Tree Search as Regularized Policy Optimization
The combination of Monte-Carlo tree search (MCTS) with deep reinforcemen...
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11/19/2019
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Constructing agents with planning capabilities has long been one of the ...
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12/05/2017
