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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...
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03/23/2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Although reinforcement learning has seen tremendous success recently, th...
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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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10/14/2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Training long-horizon robotic policies in complex physical environments ...
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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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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 ...
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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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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...
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11/21/2019