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World Models

295 bytes removed, 28 June
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| 2021 || [https://arxiv.org/abs/2103.11624 Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding] || Krishna D. Kamath et al. || Focuses on predicting diverse future trajectories, crucial for creating realistic scenarios in robotics simulations.
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| 2021 || [https://arxiv.org/abs/1912.06680 Augmenting Reinforcement Learning with Human Videos] || Alex X. Lee et al. || Explores the use of human demonstration videos to improve the performance of reinforcement learning agents, which is highly relevant for augmenting datasets in robotics.
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| 2024 || [https://arxiv.org/abs/2402.05741 Real-world Robot Applications of Foundation Models: A Review] || K Kawaharazuka, T Matsushima et al. || overview of the practical application of foundation models in real-world robotics, including the integration of specific components within existing robot systems.