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pro vyhledávání: '"Lee, Jun Ki"'
This paper explores how non-experts can teach robots desired skills in their environments. We argue that natural language is an intuitive and accessible interface for robot learning. To this end, we investigate two key aspects: (1) how non-experts co
Externí odkaz:
http://arxiv.org/abs/2411.00508
In this paper, we propose a novel method for plane clustering specialized in cluttered scenes using an RGB-D camera and validate its effectiveness through robot grasping experiments. Unlike existing methods, which focus on large-scale indoor structur
Externí odkaz:
http://arxiv.org/abs/2403.12449
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Autor:
Cooper, Matt, Lee, Jun Ki, Beck, Jacob, Fishman, Joshua D., Gillett, Michael, Papakipos, Zoë, Zhang, Aaron, Ramos, Jerome, Shah, Aansh, Littman, Michael L.
Mutually beneficial behavior in repeated games can be enforced via the threat of punishment, as enshrined in game theory's well-known "folk theorem." There is a cost, however, to a player for generating these disincentives. In this work, we seek to m
Externí odkaz:
http://arxiv.org/abs/1908.08641
To widen their accessibility and increase their utility, intelligent agents must be able to learn complex behaviors as specified by (non-expert) human users. Moreover, they will need to learn these behaviors within a reasonable amount of time while e
Externí odkaz:
http://arxiv.org/abs/1902.04257
Deep reinforcement-learning methods have achieved remarkable performance on challenging control tasks. Observations of the resulting behavior give the impression that the agent has constructed a generalized representation that supports insightful act
Externí odkaz:
http://arxiv.org/abs/1812.02868
Autor:
Arumugam, Dilip, Abel, David, Asadi, Kavosh, Gopalan, Nakul, Grimm, Christopher, Lee, Jun Ki, Lehnert, Lucas, Littman, Michael L.
An agent with an inaccurate model of its environment faces a difficult choice: it can ignore the errors in its model and act in the real world in whatever way it determines is optimal with respect to its model. Alternatively, it can take a more conse
Externí odkaz:
http://arxiv.org/abs/1812.01129
The practical use of nanoparticle superlattices (NPSLs) which are of great interest as materials with designed functionalities is often limited by their lack of structural stability under various utilization conditions. Here, we report a new method f
Externí odkaz:
http://arxiv.org/abs/1810.10228