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"

26 / 26 papers shown

Title
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 66 46 0 02 May 2021
Learning and Exploring Motor Skills with Spacetime Bounds Li-Ke Ma Zeshi Yang Xin Tong B. Guo KangKang Yin 42 23 0 31 Mar 2021
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 79 52 0 09 Oct 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 115 503 0 02 Apr 2020
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 39 7 0 17 Sep 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 55 197 0 23 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 56 98 0 16 May 2019
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation Yifeng Jiang Tom Van Wouwe F. D. Groote Chenxi Liu 62 75 0 30 Apr 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 69 120 0 29 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 130 2,418 0 13 Dec 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 57 29 0 27 Sep 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 125 1,874 0 01 Aug 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 224 498 0 08 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,168 0 26 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 179 1,594 0 05 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 281 8,313 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
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 197 936 0 07 Jul 2017
Learning human behaviors from motion capture by adversarial imitation J. Merel Yuval Tassa TB Dhruva S. Srinivasan Jay Lemmon Ziyun Wang Greg Wayne N. Heess GAN 60 202 0 07 Jul 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 85 1,339 0 27 Feb 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 279 5,360 0 03 Nov 2016
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? Xue Bin Peng M. van de Panne 64 182 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 155 2,529 0 02 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 298 13,214 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 82 3,399 0 08 Jun 2015