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07/20/2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
We investigate the challenge of parametrizing policies for reinforcement...
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07/06/2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Large vision-language models have achieved outstanding performance, but ...
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06/11/2023
On the Efficacy of 3D Point Cloud Reinforcement Learning
Recent studies on visual reinforcement learning (visual RL) have explore...
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06/06/2023
Deductive Verification of Chain-of-Thought Reasoning
Large Language Models (LLMs) significantly benefit from Chain-of-Thought...
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02/09/2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Generalizable manipulation skills, which can be composed to tackle long-...
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12/03/2022
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Generalizable 3D part segmentation is important but challenging in visio...
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10/14/2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
We study how choices of input point cloud coordinate frames impact learn...
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06/26/2022
Improving Policy Optimization with Generalist-Specialist Learning
Generalization in deep reinforcement learning over unseen environment va...
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05/05/2022
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
Approximate convex decomposition aims to decompose a 3D shape into a set...
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01/28/2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
In this paper, we focus on the simulation of active stereovision depth s...
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07/30/2021
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills
Learning generalizable manipulation skills is central for robots to achi...
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11/21/2019