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10/25/2022
Auxiliary task discovery through generate-and-test
In this paper, we explore an approach to auxiliary task discovery in rei...
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03/18/2022
Importance Sampling Placement in Off-Policy Temporal-Difference Methods
A central challenge to applying many off-policy reinforcement learning a...
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09/10/2021
An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment
Many off-policy prediction learning algorithms have been proposed in the...
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06/02/2021
An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task
Off-policy prediction – learning the value function for one policy from ...
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04/28/2021
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
Many reinforcement learning algorithms rely on value estimation. However...
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02/15/2021
Does Standard Backpropagation Forget Less Catastrophically Than Adam?
Catastrophic forgetting remains a severe hindrance to the broad applicat...
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07/01/2020
Gradient Temporal-Difference Learning with Regularized Corrections
It is still common to use Q-learning and temporal difference (TD) learni...
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03/16/2020
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Reinforcement learning systems require good representations to work well...
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10/29/2019
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Using neural networks in the reinforcement learning (RL) framework has a...
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03/01/2019
Should All Temporal Difference Learning Use Emphasis?
Emphatic Temporal Difference (ETD) learning has recently been proposed a...
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11/06/2018
Online Off-policy Prediction
This paper investigates the problem of online prediction learning, where...
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05/18/2018
Two geometric input transformation methods for fast online reinforcement learning with neural nets
We apply neural nets with ReLU gates in online reinforcement learning. O...
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05/11/2017