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Behaviour Suite for Reinforcement Learning, , , , , , , , , и 4 other автор(ы). ICLR, (2020)Conditional Importance Sampling for Off-Policy Learning., , , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 45-55. PMLR, (2020)Meta-learning of Sequential Strategies., , , , , , , , , и 14 other автор(ы). CoRR, (2019)What Can Learned Intrinsic Rewards Capture?, , , , , , , и . CoRR, (2019)Unicorn: Continual Learning with a Universal, Off-policy Agent., , , , , , , , , и . CoRR, (2018)Multi-Task Deep Reinforcement Learning with PopArt., , , , , и . AAAI, стр. 3796-3803. AAAI Press, (2019)Behaviour Suite for Reinforcement Learning., , , , , , , , , и 4 other автор(ы). ICLR, OpenReview.net, (2020)Weighted importance sampling for off-policy learning with linear function approximation., , и . NIPS, стр. 3014-3022. (2014)What Can Learned Intrinsic Rewards Capture?, , , , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 11436-11446. PMLR, (2020)Adaptive Serious Games Using Agent Organizations., , , и . AGS, том 5920 из Lecture Notes in Computer Science, стр. 206-220. Springer, (2009)