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Charles Packer
Charles Packer
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Assessing Generalization in Deep Reinforcement Learning
C Packer, K Gao, J Kos, P Krähenbühl, V Koltun, D Song
arXiv preprint arXiv:1810.12282, 2018
2402018
Learning compatibility across categories for heterogeneous item recommendation
R He, C Packer, J McAuley
2016 IEEE 16th International Conference on Data Mining (ICDM), 937-942, 2016
1152016
Differentiable Neural Network Architecture Search
R Shin, C Packer, D Song
982018
MemGPT: Towards LLMs as Operating Systems
C Packer, S Wooders, K Lin, V Fang, SG Patil, I Stoica, JE Gonzalez
arXiv preprint arXiv:2310.08560, 2023
732023
Contingencies from observations: Tractable contingency planning with learned behavior models
N Rhinehart, J He, C Packer, MA Wright, R McAllister, JE Gonzalez, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 13663 …, 2021
302021
Visually-Aware Personalized Recommendation using Interpretable Image Representations
C Packer, J McAuley, A Ramisa
arXiv preprint arXiv:1806.09820, 2018
302018
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
C Packer, P Abbeel, JE Gonzalez
Advances in Neural Information Processing Systems 34, 2466-2477, 2021
212021
GraphZip: Mining Graph Streams using Dictionary-based Compression
C Packer, LB Holder
SIGKDD Workshop on Mining and Learning in Graphs (MLG), 2017
12*2017
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
C Packer, N Rhinehart, RT McAllister, MA Wright, X Wang, J He, S Levine, ...
6th Annual Conference on Robot Learning, 2022
112022
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
J Yang, K Desai, C Packer, H Bhatia, N Rhinehart, R McAllister, ...
arXiv preprint arXiv:2401.18075, 2024
12024
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