Title
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion Henri-Jacques Geiss Firas Al-Hafez Andre Seyfarth Jan Peters Davide Tateo 34 2 0 16 Jul 2024
Academic competitions H. J. Escalante Aleksandra Kruchinina AI4CE 30 0 0 01 Dec 2023
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models Pierre Schumacher Thomas Geijtenbeek Vittorio Caggiano Vikash Kumar Syn Schmitt Georg Martius Daniel Haeufle OOD OffRL 42 9 0 06 Sep 2023
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces Pranavi Pathakota Hardik Meisheri H. Khadilkar OffRL 10 0 0 28 Jun 2023
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions Jungnam Park M. Park Jehee Lee Jungdam Won 3DH 30 5 0 07 Jun 2023
Reward Gaming in Conditional Text Generation Richard Yuanzhe Pang Vishakh Padmakumar Thibault Sellam Ankur P. Parikh He He 35 24 0 16 Nov 2022
Incorporating Rivalry in Reinforcement Learning for a Competitive Game Pablo V. A. Barros Ö. Yalçın Ana Tanevska A. Sciutti 22 4 0 22 Aug 2022
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Isabell Wochner Pierre Schumacher Georg Martius Le Chen Syn Schmitt Daniel Haeufle 30 9 0 08 Jul 2022
Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer Ai-Mei Huang Zhewei Huang Shuchang Zhou VGen 32 7 0 26 Jun 2022
Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO Jin Fang Jiacheng Weng Yi Xiang Xinwen Zhang OffRL 16 2 0 21 Jun 2022
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Pierre Schumacher Daniel Haeufle Le Chen Syn Schmitt Georg Martius 23 31 0 30 May 2022
A Survey on Reinforcement Learning Methods in Character Animation Ariel Kwiatkowski Eduardo Alvarado Vicky Kalogeiton Chenxi Liu Julien Pettré M. van de Panne Marie-Paule Cani AI4CE 19 44 0 07 Mar 2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights Maxime Gasse Quentin Cappart J. Charfreitag Laurent Charlin Didier Chételat ... He Minggui Hao Hao Zhang Zhiyu An Zhiwu M. Kun 28 30 0 04 Mar 2022
Generative GaitNet Jungnam Park Sehee Min P. Chang Jaedong Lee M. Park Jehee Lee 3DH 18 19 0 28 Jan 2022
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation Zixuan Cao Yang Xu Zhewei Huang Shuchang Zhou 95 7 0 25 Jan 2022
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 26 44 0 03 Nov 2021
Optimal Feedback Control for Modeling Human-Computer Interaction F. Fischer A. Fleig Markus Klar J. Müller 11 15 0 01 Oct 2021
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data Aleksandra Malysheva D. Kudenko A. Shpilman 16 5 0 16 Dec 2020
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity F. Fischer Miroslav Bachinski Markus Klar A. Fleig Jorg Muller 21 46 0 13 Nov 2020
An ocular biomechanics environment for reinforcement learning Julie Iskander M. Hossny 6 3 0 12 Aug 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Yasuhiro Fujita Kota Uenishi Avinash Ummadisingu P. Nagarajan Shimpei Masuda M. Castro 27 18 0 16 Jul 2020
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game Pablo V. A. Barros Ana Tanevska A. Sciutti 22 21 0 08 Apr 2020
Reinforcement Learning for Electricity Network Operation A. Kelly A. O'Sullivan Patrick de Mars Antoine Marot AI4CE 10 30 0 16 Mar 2020
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 27 122 0 29 Nov 2019
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation Yijiong Lin Jiancong Huang Matthieu Zimmer Juan Rojas Paul Weng 6 5 0 19 Oct 2019
Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning Wentao Zhu Wenqi Li H. Roth Ayonga Hereid 14 37 0 03 Oct 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning Yijiong Lin Jiancong Huang Matthieu Zimmer Yisheng Guan Juan Rojas Paul Weng OffRL 13 0 0 24 Sep 2019
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation Yifeng Jiang Tom Van Wouwe F. D. Groote Chenxi Liu 30 75 0 30 Apr 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 21 16 0 11 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments Zhizheng Zhang Jiale Chen Zhibo Chen Weiping Li OffRL 17 60 0 03 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 39 12 0 27 Jan 2019
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 24 119 0 10 Sep 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 21 60 0 31 Mar 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