Deep-Sea Treasure, Image version
1 papers with code • 0 benchmarks • 0 datasets
Image state version of the multi-objective reinforcement learning toy environment originally introduced in "Empirical evaluation methods for multiobjective reinforcement learning algorithms" by P. Vamplew et al.
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Most implemented papers
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach
In this work, we propose \textit{generalized Thresholded Lexicographic Ordering} (gTLO), a novel method that aims to combine non-linear MORL with the advantages of generalized MORL.
