A Survey on Reinforcement Learning Methods in Character Animation

7 March 2022

Papers citing "A Survey on Reinforcement Learning Methods in Character Animation"

50 / 55 papers shown

Title
A Survey on Deep Learning for Skeleton-Based Human Animation Lucas Mourot Ludovic Hoyet F. Clerc Francois Schnitzler Pierre Hellier 3DH 86 79 0 13 Oct 2021
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 84 46 0 02 May 2021
SimPoE: Simulated Character Control for 3D Human Pose Estimation Ye Yuan S. Wei Tomas Simon Kris Kitani Jason M. Saragih 131 134 0 01 Apr 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos Chenxi Liu PINN 78 82 0 30 Mar 2021
Character Controllers Using Motion VAEs Hung Yu Ling F. Zinno George Cheng M. van de Panne DRL 61 254 0 26 Mar 2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation Pei Xu Ioannis Karamouzas 75 19 0 18 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 161 1,272 0 02 Mar 2021
Deep Reinforcement Learning for Navigation in AAA Video Games Eloi Alonso Maxim Peter David Goumard Joshua Romoff 49 37 0 09 Nov 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 91 53 0 09 Oct 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning J. K. Terry Benjamin Black Nathaniel Grammel Mario Jayakumar Ananth Hari ... Caroline Horsch Clemens Dieffendahl Niall L. Williams Yashas Lokesh Praveen Ravi OffRL 103 287 0 30 Sep 2020
Agent Environment Cycle Games J. K. Terry Nathaniel Grammel Benjamin Black Ananth Hari Caroline Horsch L. Santos 54 7 0 28 Sep 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 110 457 0 03 Aug 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 127 356 0 18 Jun 2020
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis Ye Yuan Kris Kitani 133 77 0 12 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 79 224 0 10 Jun 2020
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Firdaus Janoos L. Rudolph Aleksander Madry AAML 64 229 0 25 May 2020
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 157 107 0 09 May 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 143 508 0 02 Apr 2020
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation Mariko Isogawa Ye Yuan Matthew O'Toole Kris Kitani 3DH 80 61 0 31 Mar 2020
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI S. Alexander AI4CE 106 8 0 15 Feb 2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning Yaodong Yang Jianye Hao B. Liao Kun Shao Guangyong Chen Wulong Liu Hongyao Tang OffRL 72 187 0 10 Feb 2020
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 71 403 0 13 Oct 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments Vinicius G. Goecks Gregory M. Gremillion Vernon J. Lawhern J. Valasek Nicholas R. Waytowich OffRL 70 31 0 09 Oct 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 123 254 0 26 Aug 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 69 809 0 14 May 2019
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation Yifeng Jiang Tom Van Wouwe F. D. Groote Chenxi Liu 77 75 0 30 Apr 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 70 107 0 19 Feb 2019
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 80 183 0 12 Oct 2018
Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 48 198 0 17 Jul 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 89 88 0 02 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 80 62 0 31 Mar 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 166 1,676 0 30 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,218 0 26 Feb 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 128 479 0 21 Feb 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk Chenxi Liu 116 186 0 24 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 110 1,268 0 16 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 156 1,785 0 05 Dec 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 145 1,963 0 19 Sep 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 86 630 0 17 Aug 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 103 1,506 0 21 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 81 1,013 0 16 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,377 0 12 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,520 0 07 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 189 1,615 0 05 Jun 2017
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? Xue Bin Peng M. van de Panne 86 182 0 03 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 165 3,125 0 10 Jun 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 210 8,881 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,769 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 175 7,665 0 22 Sep 2015