Dynamical principles for neuroscience and intelligent biomimetic devices

By Auke Jan Ijspeert, Jonas Buchli, Allen I. Selverston, Mikhail I. Rabinovich, Martin J. Hasler, Wulfram Gerstner, Aude Gemma Billard, Henry Markram, Dario Floreano. 2006

8 citations recorded by the source corpus.

Subfields: Neuroscience

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In Neuroscience

1. Yan Duan
2. Pieter Abbeel

Citations in the corpus

• Benchmarking Deep Reinforcement Learning for Continuous Control (2016, methodology): “Some reinforcement learning benchmarks contain lowdimensional continuous control tasks, such as the ones introduced above, including RLLib (Abeyruwan, 2013), MMLF (Metzen & Edgington, 2011), RL-Toolbox (Neumann, 2006), JRLF (Kochenderfer, 2006), Beliefbox (Dimitrakakis et al., 2007), Policy Gradient”
• Compliant Control of Multicontact and Center-of-Mass Behaviors in Humanoid Robots (2010, background): “The field of legged locomotion is vast and continues to broaden with pioneering contributions in areas such as hybrid nonlinear control [32], [34], biomimetic-coupled oscillators [3], [14], and passive dynamic walking [6], [20].”