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Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.

, , , , , , and . AAMAS, page 1744-1746. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)

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