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03/07/2023
Exploration via Epistemic Value Estimation
How to efficiently explore in reinforcement learning is an open problem....
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01/17/2022
Chaining Value Functions for Off-Policy Learning
To accumulate knowledge and improve its policy of behaviour, a reinforce...
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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
Muesli: Combining Improvements in Policy Optimization
We propose a novel policy update that combines regularized policy optimi...
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06/12/2020
AlgebraNets
Neural networks have historically been built layerwise from the set of f...
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04/07/2020
Finding polynomial roots by dynamical systems – a case study
We investigate two well known dynamical systems that are designed to fin...
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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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09/30/2019
Gated Linear Networks
This paper presents a family of backpropagation-free neural architecture...
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09/25/2019
Off-Policy Actor-Critic with Shared Experience Replay
We investigate the combination of actor-critic reinforcement learning al...
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09/12/2018
Multi-task Deep Reinforcement Learning with PopArt
The reinforcement learning community has made great strides in designing...
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03/10/2018