Search Results for author: Sunil Muralidhara

Found 3 papers, 2 papers with code

DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo

1 code implementation • 17 May 2022 • Woong Gyu La, Lingjie Kong, Sunil Muralidhara, Pratik Nichat

We propose DeepSim, a reinforcement learning environment build toolkit for ROS and Gazebo.

BIG-bench Machine Learning reinforcement-learning +1

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Unified Distributed Environment

1 code implementation • 14 May 2022 • Woong Gyu La, Sunil Muralidhara, Lingjie Kong, Pratik Nichat

With environment virtualization and its interface design, the agent policies can be trained in multiple machines for a multi-agent environment.

OpenAI Gym reinforcement-learning +2

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DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

no code implementations • 5 Nov 2019 • Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy

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.

reinforcement-learning Reinforcement Learning (RL)

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