Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization (original) (raw)

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Stefan Schaal

2006

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Reinforcement learning for operational space

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Learning to control in operational space

Stefan Schaal

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Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

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A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials

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Learning in real robots from environment interaction

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2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

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Reinforcement Learning in Robotics: Applications and Real-World Challenges

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A kinodynamic planning-learning algorithm for complex robot motor control

Fernando Fernandez

2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

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Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning

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The Ingredients of Real-World Robotic Reinforcement Learning

Dhruv Shah

arXiv (Cornell University), 2020

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Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Hejia Zhang

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Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks

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Advanced Robotics, 2008

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A Framework for Learning in Humanoid Simulated Robots

Alexandre Da Silva Simões

Lecture Notes in Computer Science, 2008

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An extended policy gradient algorithm for robot task learning

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Off-Policy Reinforcement Learning for Robotics

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RMP2: A Structured Composable Policy Class for Robot Learning

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Speeding Up the Learning in A Robot Simulator

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Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer

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2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

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