Search Results for author: Philipp Wu

Found 6 papers, 3 papers with code

Semi-Supervised One-Shot Imitation Learning

no code implementations9 Aug 2024 Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel

We utilize this embedding space and the clustering it supports to self-generate pairings between trajectories in the large unpaired dataset.

Few-Shot Learning Imitation Learning

From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control

no code implementations8 May 2024 Yide Shentu, Philipp Wu, Aravind Rajeswaran, Pieter Abbeel

This enables LLMs to flexibly communicate goals in the task plan without being entirely constrained by language limitations.

Interactive Task Planning with Language Models

no code implementations16 Oct 2023 Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik

To tackle this, we propose a simple framework that achieves interactive task planning with language models by incorporating both high-level planning and low-level skill execution through function calling, leveraging pretrained vision models to ground the scene in language.

Language Modeling Language Modelling +3

DayDreamer: World Models for Physical Robot Learning

1 code implementation28 Jun 2022 Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel

Learning a world model to predict the outcomes of potential actions enables planning in imagination, reducing the amount of trial and error needed in the real environment.

Deep Reinforcement Learning Navigate +2

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