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Found 3 papers, 1 papers with code
Reinforcement Learning with Ensemble Model Predictive Safety Certification
Reinforcement learning algorithms need exploration to learn.
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors
In this work, we propose a data-driven approach to optimize the parameters of a simulation such that control policies can be directly transferred from simulation to a real-world quadrotor.
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
First, we conduct a critical point analysis of the error function and provide technical insights on optimisation and design choices for neural networks.
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