Kamran, Danial (author), Simão, T. D. (author), Yang, Q. (author), Ponnambalam, C.T. (author), Fischer, Johannes (author), Spaan, M.T.J. (author), Lauer, Martin (author) The use of reinforcement learning (RL) in real-world domains often requires extensive effort to ensure safe behavior. While this compromises the autonomy of the system, it might still be too risky to allow a learning agent to freely explore its environment. These strict impositions come at the cost of flexibility and applying them often relies...
conference paper 2022