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f-IRL: Inverse Reinforcement Learning via State Marginal Matching.

, , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 529-551. PMLR, (2020)

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Do Transformer World Models Give Better Policy Gradients?, , , , and . CoRR, (2024)Elastic Boundary Projection for 3D Medical Image Segmentation., , , , and . CVPR, page 2109-2118. Computer Vision Foundation / IEEE, (2019)Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers., , , , , , , , , and 4 other author(s). CoRR, (2024)Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation., , , , , , , and . CoRR, (2018)Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient., and . CoRR, (2020)Adaptive Agent Architecture for Real-time Human-Agent Teaming., , , , , , , , and . CoRR, (2021)When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment., , , and . CoRR, (2023)Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 16691-16723. PMLR, (2022)Individualized Mutual Adaptation in Human-Agent Teams., , , , , , , , and . IEEE Trans. Hum. Mach. Syst., 51 (6): 706-714 (2021)Elastic Boundary Projection for 3D Medical Imaging Segmentation., , , , and . CoRR, (2018)