Charles Packer

According to our database, Charles Packer authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting.

Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MemGPT: Towards LLMs as Operating Systems.

Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez

CoRR, 2023

2022

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty.

Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez

Proceedings of the Conference on Robot Learning, 2022

2021

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL.

Charles Packer, Pieter Abbeel, Joseph E. Gonzalez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models.

Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2018

Assessing Generalization in Deep Reinforcement Learning.

Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song

CoRR, 2018

Visually-Aware Personalized Recommendation using Interpretable Image Representations.

Charles Packer, Julian J. McAuley, Arnau Ramisa

CoRR, 2018

Differentiable Neural Network Architecture Search.

Richard Shin, Charles Packer, Dawn Song

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories.

Ruining He, Charles Packer, Julian J. McAuley

CoRR, 2016

Learning Compatibility Across Categories for Heterogeneous Item Recommendation.

Ruining He, Charles Packer, Julian J. McAuley

Proceedings of the IEEE 16th International Conference on Data Mining, 2016