Hey all Looking for good research papers for Multi-objective reinforcement learning (MORL). Should contain python code, a test-suite for simulation and enough citations.
Now that the first evaluation is completed, we will very soon have an interactive rocket injector simulator! I hope you're looking forward for that. Due to some shift in plans, we have decided on implementing (MORL) algorithms instead of the originally proposed SPEA-II algorithm. Some papers that I've liked so far: 1. Multi-Objective Reinforcement Learning using Sets ofPareto Dominating Policies <https://www.jmlr.org/papers/volume15/vanmoffaert14a/vanmoffaert14a.pdf> 2. Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control <http://proceedings.mlr.press/v119/xu20h.html> 3. A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation <https://arxiv.org/abs/1908.08342> First one has a good number of citations. The second one has a reference youtube video as well as code + test suite. The third one has code + test suite and has good amount of stars as well. Best S
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