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Representation Learning in Deep RL via Discrete Information Bottleneck., , , , , , , , , и 1 other автор(ы). AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8699-8722. PMLR, (2023)Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning., , , , , , , , и . NeurIPS, (2022)WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series., , , , , и . AAAI, стр. 10754-10761. AAAI Press, (2023)Learning Latent Dynamic Robust Representations for World Models., , , и . CoRR, (2024)Homophonic Pun Generation with Lexically Constrained Rewriting., , и . EMNLP (1), стр. 2870-2876. Association for Computational Linguistics, (2020)Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Principled Offline RL in the Presence of Rich Exogenous Information., , , , , , , , , и 1 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 14390-14421. PMLR, (2023)A Relative Achievement Method for Marine Environmental Management Evaluation., и . CSISE (2), том 105 из Advances in Intelligent and Soft Computing, стр. 591-595. Springer, (2011)SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning., , и . AAAI, стр. 8997-9005. AAAI Press, (2022)Towards Automatic Generation of Product Reviews from Aspect-Sentiment Scores., и . INLG, стр. 168-177. Association for Computational Linguistics, (2017)