Adaptive Interest for Emphatic Reinforcement Learning

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Debiasing Meta-Gradient Reinforcement Learning by ... - OpenReview
We focus on meta-gradient prediction using the TD(?) algorithm and a MSE meta-objective with ¯? = 1 and¯? = 1, as described in Section 1.2. For these ...
Meta-Gradient Reinforcement Learning - NIPS
In [13], the noisy nature of TD errors is highlighted as a main issue of performing such task inference, and a novel task recognition method ...
Meta-Gradient Reinforcement Learning with an Objective ...
Deep reinforcement learning includes a broad family of algorithms that parame- terise an internal representation, such as a value function or policy, ...



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Unifying Gradient Estimators for Meta-Reinforcement Learning via ...