Language-Conditioned Path Planning

no code implementations • 31 Aug 2023 • Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James

Contact is at the core of robotic manipulation.

Language Reward Modulation for Pretraining Reinforcement Learning

1 code implementation • 23 Aug 2023 • Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel

Using learned reward functions (LRFs) as a means to solve sparse-reward reinforcement learning (RL) tasks has yielded some steady progress in task-complexity through the years.

reinforcement-learning Reinforcement Learning (RL) +1

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

no code implementations • CVPR 2023 • Ajay Jain, Amber Xie, Pieter Abbeel

We show that a text-conditioned diffusion model trained on pixel representations of images can be used to generate SVG-exportable vector graphics.

Image Generation Text to 3D +1

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

1 code implementation • 25 Oct 2022 • John So, Amber Xie, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali Agha-mohammadi, Pieter Abbeel, Stephen James

In this paper, we address this challenge by presenting Sim2Seg, a re-imagining of RCAN that crosses the visual reality gap for off-road autonomous driving, without using any real-world data.

Autonomous Driving Reinforcement Learning (RL) +2

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

1 code implementation • 14 Oct 2022 • Ademi Adeniji, Amber Xie, Pieter Abbeel

While unsupervised skill discovery has shown promise in autonomously acquiring behavioral primitives, there is still a large methodological disconnect between task-agnostic skill pretraining and downstream, task-aware finetuning.

reinforcement-learning Reinforcement Learning (RL) +2