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03/01/2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Recent methods for imitation learning directly learn a Q-function using ...
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01/09/2023
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators
Parallel-elastic joints can improve the efficiency and strength of robot...
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06/21/2022
Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
Efficient object level representation for monocular semantic simultaneou...
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03/09/2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
Black-box policy optimization is a class of reinforcement learning algor...
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03/09/2022
Regularized Deep Signed Distance Fields for Reactive Motion Generation
Autonomous robots should operate in real-world dynamic environments and ...
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10/22/2021
Learning Stable Vector Fields on Lie Groups
Learning robot motions from demonstration requires having models that ar...
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07/20/2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
Reinforcement learning methods for robotics are increasingly successful ...
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07/13/2021
Efficient and Reactive Planning for High Speed Robot Air Hockey
Highly dynamic robotic tasks require high-speed and reactive robots. The...
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12/11/2020
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems
We present a new family of deep neural network-based dynamic systems. Th...
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10/25/2020
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows
We introduce ImitationFlow, a novel Deep generative model that allows le...
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06/10/2020
Reinforcement Learning from a Mixture of Interpretable Experts
Reinforcement learning (RL) has demonstrated its ability to solve high d...
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01/04/2020
MushroomRL: Simplifying Reinforcement Learning Research
MushroomRL is an open-source Python library developed to simplify the pr...
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01/01/2020
