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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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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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11/02/2021
Procedural Generalization by Planning with Self-Supervised World Models
One of the key promises of model-based reinforcement learning is the abi...
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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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10/12/2020
Local Search for Policy Iteration in Continuous Control
We present an algorithm for local, regularized, policy improvement in re...
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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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08/26/2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in...
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12/17/2018
Bayesian Optimization in AlphaGo
During the development of AlphaGo, its many hyper-parameters were tuned ...
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12/05/2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
The game of chess is the most widely-studied domain in the history of ar...
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08/16/2017
StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
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12/12/2016