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Diversity-Driven Exploration Strategy for Deep Reinforcement Learning., , , , , и . NeurIPS, стр. 10510-10521. (2018)Adversarial Active Exploration for Inverse Dynamics Model Learning., , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 552-565. PMLR, (2019)Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting., , , и . ICLR, OpenReview.net, (2023)Maximizing Quadruped Velocity by Minimizing Energy., , , , и . ICRA, стр. 11467-11473. IEEE, (2024)Random Latent Exploration for Deep Reinforcement Learning., , , , и . ICML, OpenReview.net, (2024)Diversity-Driven Exploration Strategy for Deep Reinforcement Learning., , , , и . ICLR (Workshop), OpenReview.net, (2018)A Deep Policy Inference Q-Network for Multi-Agent Systems., , , , и . AAMAS, стр. 1388-1396. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Topological Experience Replay., , , , и . ICLR, OpenReview.net, (2022)Virtual-to-Real: Learning to Control in Visual Semantic Segmentation., , , , , , , , , и 3 other автор(ы). IJCAI, стр. 4912-4920. ijcai.org, (2018)Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning., , и . ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 87-103. Springer, (2021)