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机译:如果奖励足够,下一步是什么?来自动物强化学习的 AGI 见解
University of Michigan;
Animal Learning; Artificial General Intelligence; Reinforcement Learning; Social Learning; Meta-Learning;
机译:Findings from Pontifical Catholic University Update Knowledge of Artificial Intelligence (Reward Machines: Exploiting Reward Function Structure In Reinforcement Learning)
机译:Reinforcement Learning Modeling Reveals a Reward-History-Dependent Strategy Underlying Reversal Learning in Squirrel Monkeys
机译:Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model
机译:探测机器人路径规划的基于案例的强化学习算法A Case-Based Reinforcement Learning for Probe Robot Path Planning
机译:AgI-AgBr体系中快速离子导体的结构化学
机译:回复沃森(Kat)的评论致编辑的信Re:KippermanB.S.和德文Animals 20188143 Animals 20188179
机译:activation instead of blocking mesolimbic dopaminergic reward circuitry is a preferred modality in the long term treatment of reward deficiency syndrome (RDs): a commentary
机译:2010年本田Insight Insight Level-1测试报告