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06/08/2021
Vector Quantized Models for Planning
Recent developments in the field of model-based RL have proven successfu...
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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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04/12/2021
Machine Translation Decoding beyond Beam Search
Beam search is the go-to method for decoding auto-regressive machine tra...
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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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02/07/2020
Causally Correct Partial Models for Reinforcement Learning
In reinforcement learning, we can learn a model of future observations a...
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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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12/17/2018
Bayesian Optimization in AlphaGo
During the development of AlphaGo, its many hyper-parameters were tuned ...
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02/13/2018
Learning to Search with MCTSnets
Planning problems are among the most important and well-studied problems...
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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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11/17/2016
Fast Non-Parametric Tests of Relative Dependency and Similarity
We introduce two novel non-parametric statistical hypothesis tests. The ...
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11/14/2015
A Test of Relative Similarity For Model Selection in Generative Models
Probabilistic generative models provide a powerful framework for represe...
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12/19/2013