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Learning to Plan via Deep Optimistic Value Exploration.

, , , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 815-825. PMLR, (2020)

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Другие публикации лиц с тем же именем

Learning to Plan via Deep Optimistic Value Exploration., , , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 815-825. PMLR, (2020)Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution., , , , и . CoRR, (2024)Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles., , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 1156-1167. PMLR, (2021)Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks., , , , , и . L4DC, том 168 из Proceedings of Machine Learning Research, стр. 954-967. PMLR, (2022)Solving Continuous Control via Q-learning., , , , , , и . ICLR, OpenReview.net, (2023)Measuring Interpretability of Neural Policies of Robots with Disentangled Representation., , , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 602-641. PMLR, (2023)Inclusion of Angular Momentum During Planning for Capture Point Based Walking., , , , , и . ICRA, стр. 1791-1798. IEEE, (2018)Towards Cooperative Flight Control Using Visual-Attention., , , , , , , и . IROS, стр. 6334-6341. (2023)Locomotion Planning through a Hybrid Bayesian Trajectory Optimization., , , , и . ICRA, стр. 5544-5550. IEEE, (2019)Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space., , , , , , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 1855-1870. PMLR, (2020)