Deep Sea Treasure Pareto-Front
Introduced by Cassimon et al. in A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
The dataset contains two Pareto-fronts: - The Pareto-front for the 2-objective problem - The Pareto-front for the 3-objective problem
Each Pareto-front contains a set of points, with coordinates given by their objectives. The dataset also contains 1 possible action sequence that leads to this point. If there are multiple possible paths leading to the same point, only 1 was kept.
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