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Environment for neoRL: Richer system mechnics motivates a change from the classic "environment". Samsara: The world as the agent knows it: The immediate considerations and goald the neoRL agent cares about. Agent Samsara.

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Samsara.jl

As classic reinforcement learning environments poorly reflect the richness of real-world systems, we create Samsara: The world to the RL agent, as seen from the agent: Everything the agent cares about.

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Environment for neoRL: Richer system mechnics motivates a change from the classic "environment". Samsara: The world as the agent knows it: The immediate considerations and goald the neoRL agent cares about. Agent Samsara.

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