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1710.06537
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
18 October 2017
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
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Papers citing
"Sim-to-Real Transfer of Robotic Control with Dynamics Randomization"
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Title
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Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
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Learning Interpretable, High-Performing Policies for Autonomous Driving
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GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
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Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization
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Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
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Michael Milford
Niko Sünderhauf
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10 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots
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Ashish Kumar
Ananye Agarwal
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03 Dec 2021
Improving the Robustness of Reinforcement Learning Policies with
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\mathcal{L}_{1}
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A Survey of Robot Manipulation in Contact
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Bridging the reality gap in quantum devices with physics-aware machine learning
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Learning suction graspability considering grasp quality and robot reachability for bin-picking
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Validate on Sim, Detect on Real -- Model Selection for Domain Randomization
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Guy Jacob
Shadi Endrawis
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Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li
Xianyuan Zhan
Zixu Xiao
Guyue Zhou
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Collaborating with Humans without Human Data
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Kevin R. McKee
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Stabilizing Dynamical Systems via Policy Gradient Methods
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Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World
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Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations
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Understanding Domain Randomization for Sim-to-real Transfer
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Jiachen Hu
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Lihong Li
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Solving the Real Robot Challenge using Deep Reinforcement Learning
Robert McCarthy
Francisco Roldan Sanchez
Qiang Wang
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Discovering State and Action Abstractions for Generalized Task and Motion Planning
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Self-supervised Tumor Segmentation through Layer Decomposition
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Weidi Xie
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Towards Out-Of-Distribution Generalization: A Survey
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Zheyan Shen
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Peng Cui
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Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Chen Wang
Claudia Pérez-DÁrpino
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13 Aug 2021
Generalization in Multimodal Language Learning from Simulation
Aaron Eisermann
Jae Hee Lee
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DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
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25 Jul 2021
Deep Learning based Food Instance Segmentation using Synthetic Data
Deokhwan Park
Joosoon Lee
Junseok Lee
Kyoobin Lee
SSeg
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15 Jul 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
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RMA: Rapid Motor Adaptation for Legged Robots
Ashish Kumar
Zipeng Fu
Deepak Pathak
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Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
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Learning from scarce information: using synthetic data to classify Roman fine ware pottery
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Daniël P. van Helden
Evgeny M. Mirkes
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37
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Learning to See before Learning to Act: Visual Pre-training for Manipulation
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Andy Zeng
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Phillip Isola
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Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
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H. Su
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Active Learning in Robotics: A Review of Control Principles
Annalisa T. Taylor
Thomas A. Berrueta
Todd D. Murphey
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A Survey on Human-aware Robot Navigation
Ronja Möller
Antonino Furnari
S. Battiato
Aki Härmä
G. Farinella
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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
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Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
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Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
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Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks
Venkat Margapuri
Michael L. Neilsen
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Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OOD
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Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi
Ilija Bogunovic
Andreas Krause
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TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
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Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning
Guillaume Bellegarda
Yiyu Chen
Zhuochen Liu
Quan Nguyen
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Maximum Entropy RL (Provably) Solves Some Robust RL Problems
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Sergey Levine
OOD
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Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
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Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
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Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
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Embodied Intelligence via Learning and Evolution
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Silvio Savarese
Surya Ganguli
Li Fei-Fei
AI4CE
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Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Takuma Yoneda
Charles B. Schaff
Takahiro Maeda
Matthew R. Walter
23
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Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation
Thomas Bi
Carmelo Sferrazza
Raffaello DÁndrea
99
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