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3 days ago ¡¤ Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions
6 days ago ¡¤ LIN L J . Self-improving reactive agents based on reinforcement learning£¬ planning and teaching. £ÛJ£Ý. Machine Learning£¬ 1992 £¬ 8 £¨ 3 £©£º 293 - 321 .
4 days ago ¡¤ I work on computer vision, robotics and machine learning. I am interested in building agents that can intelligently interact with the physical world around them ...
4 days ago ¡¤ In this thesis we will tackle this problem with model-based reinforcement learning by using existing models to predict stress and deformability of objects.
3 days ago ¡¤ With the advancements in human–robot interaction (HRI), robots are now capable of operating in close proximity and engaging in physical interactions with ...
6 days ago ¡¤ Retrieval-Augmented Generation (RAG) is a key tool for significantly reducing inaccuracies and grounding LLMs with private knowledge, but its performance is ...
4 days ago ¡¤ We take a close look at implementations with all interfaces, ranging from simple solutions, apps, and controllers to robot-learning examples illustrating how to ...
8 hours ago ¡¤ The IAC 2024 Proceedings are available on a password protected site. The Congress participants will be provided with a link and online.
3 days ago ¡¤ This proposed special session aims to explore the latest developments in data analysis, challenges, and opportunities in AI across diverse domains.
6 days ago ¡¤ Reinforcement Learning Models: These models learn by interacting with their environment, and receiving rewards or penalties based on their actions. 9 ...
