PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network

16 March 2020

Papers citing "PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network"

3 / 3 papers shown

Title
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 40 46 0 02 May 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 177 494 0 08 Apr 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017