scientific article; zbMATH DE number 6982305

zbMath1437.68147arXiv1606.09197MaRDI QIDQ4558153

Hany Abdulsamad, Gerhard Neumann, Jan Peters, Abbas Abdolmaleki, Riad Akrour

Publication date: 21 November 2018

Full work available at URL: https://arxiv.org/abs/1606.09197

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

reinforcement learningroboticstrajectory optimizationpolicy optimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Markov and semi-Markov decision processes (90C40) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

Unnamed Item ⋮ Unnamed Item ⋮ Experiments with Tractable Feedback in Robotic Planning Under Uncertainty: Insights over a Wide Range of Noise Regimes ⋮ Compatible natural gradient policy search ⋮ TD-regularized actor-critic methods ⋮ Unnamed Item

Uses Software

• GitHub
• Baselines
• PILCO

Cites Work

• Policy gradient in Lipschitz Markov decision processes
• Model-based contextual policy search for data-efficient generalization of robot skills
• Algorithms for Reinforcement Learning
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

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