32 citations · 34 across the 3 of their papers we have counts for
3 papers
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…
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…
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji, Sunil Mallya, Sahika Genc +10
DeepRacer is a platform for end-to-end experimentation with RL and can be used to systematically investigate the key challenges in developing intelligent control systems. Using the…