5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.RO2026
Robots that learn to evaluate models of collective behavior
Mathis Hocke, Andreas Gerken, David Bierbach +2
Understanding and modeling animal behavior is essential for studying collective motion, decision-making, and bio-inspired robotics. Yet, evaluating the accuracy of behavioral model…
cs.AI2019★ 5 cited
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers
Andreas Gerken, Michael Spranger
This paper presents a novel model-free Reinforcement Learning algorithm for learning behavior in continuous action, state, and goal spaces. The algorithm approximates optimal value…