🏢 NTU Singapore
Reinforcement Learning with LTL and ⍵-Regular Objectives via Optimality-Preserving Translation to Average Rewards
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Machine Learning
Reinforcement Learning
🏢 NTU Singapore
Reinforcement learning with complex objectives made easy: This paper introduces an optimality-preserving translation to reduce problems with Linear Temporal Logic (LTL) objectives to standard average …