A. J. van den Bogert
Biomedical Engineering · 2005–2017
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 16 citations into it
- Reinforcement Learning — 16 citations into it
- Cognitive Neuroscience — 13 citations into it
- Orthopedics and Sports Medicine — 8 citations into it
- Cellular and Molecular Neuroscience — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom A. J. van den Bogert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Barto
- Kenji Doya
- Philip S. Thomas
- Marcus G. Pandy
- Matjaz Perc
- Richard S. Sutton
- Stefan Schaal
- Richard R. Neptune
- Felix E. Zajac
Who trusts A. J. van den Bogert overall
Papers from A. J. van den Bogert's perspective
Ordered by how strongly the researchers A. J. van den Bogert trusts endorse each paper. Same corpus, a different order for every researcher.
- Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
- Reinforcement Learning: A Survey
- Reinforcement learning
- Reinforcement Learning in the Multi-Robot Domain
- Reinforcement Learning in Continuous Time and Space
- Learning from human-generated reward
- Static and dynamic optimization solutions for gait are practically equivalent. (Journal of Biomechanics)
- Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications. (Gait & Posture)
- Reinforcement learning from simultaneous human and MDP reward
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (Journal of Biomechanics)
Their papers
- Model-based estimation of muscle forces exerted during movements. (2007) — 909 citations
- Biomechanical Measures of Neuromuscular Control and Valgus Loading of the Knee Predict Anterior Cruciate Ligament Injury Risk in Female Athletes: A Prospective Study (2005) — 3,676 citations
- Training an Actor-Critic Reinforcement Learning Controller for Arm Movement Using Human-Generated Rewards (2017) — 56 citations
- Creating a Reinforcement Learning Controller for Functional Electrical Stimulation of a Human Arm. (2008) — 15 citations