2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo
Woong Gyu La, Lingjie Kong, Sunil Muralidhara +1
We propose DeepSim, a reinforcement learning environment build toolkit for ROS and Gazebo. It allows machine learning or reinforcement learning researchers to access the robotics d…
cs.LG2022
Unified Distributed Environment
Woong Gyu La, Sunil Muralidhara, Lingjie Kong +1
We propose Unified Distributed Environment (UDE), an environment virtualization toolkit for reinforcement learning research. UDE is designed to integrate environments built on any…