Robot Deep Reinforcement Learning: Tensor State-Action Spaces and Auxiliary Task Learning with Multiple State Representations.
PhD thesis, 2020
Tensor Action Spaces for Multi-agent Robot Transfer Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.
Proceedings of the Robotics: Science and Systems XV, 2019
Learning Primitive Skills for Mobile Robots.
Proceedings of the International Conference on Robotics and Automation, 2019
Learning Skills for Small Size League RoboCup.
Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018
Zero Shot Transfer Learning for Robot Soccer.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Offline reinforcement learning with task hierarchies.
Mach. Learn., 2017
Hardware and software integration to support real-time space-link emulation.
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012