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Learning When to Switch: Composing Controllers to Traverse a Sequence of
  Terrain Artifacts
v1v2 (latest)

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
1 November 2020
Brendan Tidd
N. Hudson
Akansel Cosgun
Jurgen Leitner
ArXiv (abs)PDFHTML

Papers citing "Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts"

3 / 3 papers shown
Training Transition Policies via Distribution Matching for Complex Tasks
Training Transition Policies via Distribution Matching for Complex TasksInternational Conference on Learning Representations (ICLR), 2021
Ju-Seung Byun
Andrew Perrault
158
6
0
08 Oct 2021
Passing Through Narrow Gaps with Deep Reinforcement Learning
Passing Through Narrow Gaps with Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Brendan Tidd
Akansel Cosgun
Jurgen Leitner
N. Hudson
188
10
0
06 Mar 2021
Learning Setup Policies: Reliable Transition Between Locomotion
  Behaviours
Learning Setup Policies: Reliable Transition Between Locomotion BehavioursIEEE Robotics and Automation Letters (RA-L), 2021
Brendan Tidd
N. Hudson
Akansel Cosgun
Jurgen Leitner
224
6
0
23 Jan 2021
1
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