Tongzhou Mu | DeepAI

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∙ 04/23/2023

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization

Nowadays, algorithms with fast convergence, small memory footprints, and...

0 Zebang Shen, et al. ∙

∙ 03/23/2023

Boosting Reinforcement Learning and Planning with Demonstrations: A Survey

Although reinforcement learning has seen tremendous success recently, th...

0 Tongzhou Mu, et al. ∙

∙ 02/09/2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Generalizable manipulation skills, which can be composed to tackle long-...

0 Jiayuan Gu, et al. ∙

∙ 10/14/2022

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization

Training long-horizon robotic policies in complex physical environments ...

0 Stone Tao, et al. ∙

∙ 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...

0 Xiaoshuai Zhang, et al. ∙

∙ 01/21/2022

Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning

We present a two-step hybrid reinforcement learning (RL) policy that is ...

0 Tongzhou Mu, et al. ∙

∙ 07/30/2021

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills

Learning generalizable manipulation skills is central for robots to achi...

0 Tongzhou Mu, et al. ∙

∙ 10/26/2020

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals

We study how to learn a policy with compositional generalizability. We p...

0 Tongzhou Mu, et al. ∙

∙ 11/21/2019

State Alignment-based Imitation Learning

Consider an imitation learning problem that the imitator and the expert ...

0 Fangchen Liu, et al. ∙

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