Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts

7 March 2018

Papers citing "Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts"

7 / 7 papers shown

Title
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning Hirokazu Ishida Naoki Hiraoka K. Okada Masayuki Inaba 100 1 0 24 Feb 2025
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,950 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 458 19,006 0 20 Jul 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 246 2,643 0 23 Jan 2017
Kinodynamic Motion Planning: A Novel Type Of Nonlinear, Passive Damping Forces And Advantages A. Masoud 26 294 0 29 Jun 2016
Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics Kris K. Hauser 26 33 0 16 May 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015