hpi-sam / Robust-Multi-Agent-Reinforcement-Learning-for-SAS

Research project on robust multi-agent reinforcement learning (marl) for self-adaptive systems (sas)
MIT License
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Move current Future Work to Report #67

Open christianadriano opened 2 years ago

christianadriano commented 2 years ago

5- What are possible extensions to more complex robustness scenarios? 5.1- allow for a same trace to map to distinct root-causes (that would require the agent to increase confidence on fix decisions while no becoming stuck on suboptimal ones /explore&exploit process (see issue #62) 5.2- allow for utility to non-stationary, hence the agent would have to decide whether a perturbation was on the trace-fix prediction or on the component-utility prediction (see issue #66) 5.3- allow for asynchronous failures (see corresponding issue #61) 5.4- allow for multiple failures on the same shop (see issue #65) 5.5- allow for perfect failure masking (see issue #64)