The Value Equivalence Principle for Model-Based Reinforcement Learning - researchr publication authors

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Christopher Grimm, André Barreto, Satinder Singh, David Silver. The Value Equivalence Principle for Model-Based Reinforcement Learning. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

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