Deep Reinforcement Learning
. Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning. IEEE Robotics & Automation Magazine, :2–15, 2024. Early Access.
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. Sample-efficient Reinforcement Learning via Difference Models. In Third Machine Learning in Planning and Control of Robot Motion Workshop at IEEE International Conference on Robotics and Automation (ICRA), 2018.
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. Experience Selection in Deep Reinforcement Learning for Control. Journal of Machine Learning Research, 19(9):1–56, 2018.
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. Improved Deep Reinforcement Learning for Robotics Through Distribution-based Experience Retention. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3947–3952, 2016.
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. The Importance of Experience Replay Database Composition in Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NIPS), 2015.
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