Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Packer, Charles A."'
Autor:
Yang, Jiezhi, Desai, Khushi, Packer, Charles, Bhatia, Harshil, Rhinehart, Nicholas, McAllister, Rowan, Gonzalez, Joseph
We propose CARFF, a method for predicting future 3D scenes given past observations. Our method maps 2D ego-centric images to a distribution over plausible 3D latent scene configurations and predicts the evolution of hypothesized scenes through time.
Externí odkaz:
http://arxiv.org/abs/2401.18075
Autor:
Packer, Charles, Wooders, Sarah, Lin, Kevin, Fang, Vivian, Patil, Shishir G., Stoica, Ion, Gonzalez, Joseph E.
Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analysis. To enable using context beyond limited context windows, we propos
Externí odkaz:
http://arxiv.org/abs/2310.08560
Meta-reinforcement learning (meta-RL) has proven to be a successful framework for leveraging experience from prior tasks to rapidly learn new related tasks, however, current meta-RL approaches struggle to learn in sparse reward environments. Although
Externí odkaz:
http://arxiv.org/abs/2112.00901
Autor:
Rhinehart, Nicholas, He, Jeff, Packer, Charles, Wright, Matthew A., McAllister, Rowan, Gonzalez, Joseph E., Levine, Sergey
Humans have a remarkable ability to make decisions by accurately reasoning about future events, including the future behaviors and states of mind of other agents. Consider driving a car through a busy intersection: it is necessary to reason about the
Externí odkaz:
http://arxiv.org/abs/2104.10558
Deep reinforcement learning (RL) has achieved breakthrough results on many tasks, but agents often fail to generalize beyond the environment they were trained in. As a result, deep RL algorithms that promote generalization are receiving increasing at
Externí odkaz:
http://arxiv.org/abs/1810.12282
Visually-aware recommender systems use visual signals present in the underlying data to model the visual characteristics of items and users' preferences towards them. In the domain of clothing recommendation, incorporating items' visual information (
Externí odkaz:
http://arxiv.org/abs/1806.09820
A massive amount of data generated today on platforms such as social networks, telecommunication networks, and the internet in general can be represented as graph streams. Activity in a network's underlying graph generates a sequence of edges in the
Externí odkaz:
http://arxiv.org/abs/1703.08614
Identifying relationships between items is a key task of an online recommender system, in order to help users discover items that are functionally complementary or visually compatible. In domains like clothing recommendation, this task is particularl
Externí odkaz:
http://arxiv.org/abs/1603.09473
Autor:
Packer, Charles A.
Publikováno v:
International Congregational Journal. Summer2019, Vol. 17 Issue 2, p41-55. 15p.
Autor:
Packer, Charles
Publikováno v:
International Congregational Journal. Winter2018, Vol. 17 Issue 1, p15-20. 6p.