Deep Reinforcement Learning - Wrap-up, Take Home Messages

We 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 ...
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 Learning
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Autres Cours:

arXiv:2201.06468v2 [cs.LG] 2 Feb 2022 - UCL Discovery