The current benchmarks used for reinforcement learning tasks are in many ways underperforming in absorbing real-world data. The testing of reinforcement learning algorithms in low complexity simulation environments ends up with algorithms that are very specific. The families of benchmark RL domains should contain some of the complexity of the natural world, while still supporting…

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