research
∙
09/18/2023
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
Controlled execution of dynamic motions in quadrupedal robots, especiall...
share
research
∙
09/15/2022
Learning to Exploit Elastic Actuators for Quadruped Locomotion
Spring-based actuators in legged locomotion provide energy-efficiency an...
research
∙
05/18/2022
A2C is a special case of PPO
Advantage Actor-critic (A2C) and Proximal Policy Optimization (PPO) are ...
research
∙
05/12/2020
Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics
Reinforcement learning (RL) enables robots to learn skills from interact...
research
∙
01/24/2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Scaling end-to-end reinforcement learning to control real robots from vi...
research
∙
09/25/2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
State representation learning aims at learning compact representations f...
research
∙
08/31/2018