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Charles Packer
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2020 – today
- 2024
- [i7]Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez:
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR abs/2401.18075 (2024) - 2023
- [i6]Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez:
MemGPT: Towards LLMs as Operating Systems. CoRR abs/2310.08560 (2023) - 2022
- [c5]Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez:
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL 2022: 1607-1617 - 2021
- [c4]Nicholas Rhinehart
, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez
, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA 2021: 13663-13669 - [c3]Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. NeurIPS 2021: 2466-2477 - [i5]Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. CoRR abs/2104.10558 (2021) - [i4]Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. CoRR abs/2112.00901 (2021)
2010 – 2019
- 2018
- [c2]Richard Shin, Charles Packer, Dawn Song:
Differentiable Neural Network Architecture Search. ICLR (Workshop) 2018 - [i3]Charles Packer, Julian J. McAuley, Arnau Ramisa:
Visually-Aware Personalized Recommendation using Interpretable Image Representations. CoRR abs/1806.09820 (2018) - [i2]Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. CoRR abs/1810.12282 (2018) - 2016
- [c1]Ruining He, Charles Packer, Julian J. McAuley:
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. ICDM 2016: 937-942 - [i1]Ruining He, Charles Packer, Julian J. McAuley:
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. CoRR abs/1603.09473 (2016)
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