Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning

2 December 2022

Papers citing "Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning"

8 / 8 papers shown

Title
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning Tianjian Chen Zhanpeng He M. Ciocarlie 48 47 0 11 Aug 2020
On Training Flexible Robots using Deep Reinforcement Learning Zach Dwiel Madhavun Candadai Mariano Phielipp OffRL AI4CE 16 2 0 29 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 65 63 0 12 Jun 2019
Reinforcement Learning for Improving Agent Design David R Ha 106 127 0 09 Oct 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 189 5,218 0 26 Feb 2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 53 101 0 04 Jan 2018
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,087 0 05 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 327 13,289 0 09 Sep 2015