Unifying Gradient Estimators for Meta-Reinforcement Learning via ...
Meta-gradient Reinforcement Learning (RL) allows agents to self-tune their hyper- parameters in an online fashion during training.
Adaptive Interest for Emphatic Reinforcement LearningPublished, sold and distributed by: now Publishers Inc. PO Box 1024. Hanover, MA 02339. United States. Tel. +1-781-985-4510 www.nowpublishers.com. Debiasing Meta-Gradient Reinforcement Learning by ... - OpenReviewWe 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 - NIPSIn [13], the noisy nature of TD errors is highlighted as a main issue of performing such task inference, and a novel task recognition method ...
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