Master Histoire et Philosophie des Sciences
Aside from focusing on control rather than prediction, our methods differ from TIDBD in the meta-objective optimized by the step-size tuning: they use one step ...
arXiv:2201.06468v2 [cs.LG] 2 Feb 2022 - UCL DiscoveryUne méta-analyse comprenant 25 études portant sur plus de huit millions de participants a montré que le diagnostic de TDAH était plus fréquent chez les enfants ... Deep Reinforcement Learning - Wrap-up, Take Home MessagesWe demonstrate the ability of TD-MPC to successfully fuse information from multiple input modalities (proprioceptive data + an egocentric camera) ... Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient ...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 ...
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