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SAN-RL: combining spreading activation networks and reinforcement learning to learn configurable behaviors

机译:saN-RL:结合传播激活网络和强化学习来学习可配置行为

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This approach provides the agent with a causal structure, the spreading activation network, relating goals to the actions that can achieve those goals. This enables the agent to select actions relative to the goal priorities.

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