Jakub Grudzien Kuba

22 papers A* 6Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Cliqueformer: Model-Based Optimization with Structured Transformers. AAAI Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
2026	J	`jnl`	Offline Materials Optimization with CliqueFlowmer. CoRR Jakub Grudzien Kuba, Benjamin Kurt Miller, Sergey Levine, Pieter Abbeel
2025	J	`jnl`	Language Self-Play For Data-Free Training. CoRR Jakub Grudzien Kuba, Mengting Gu, Qi Ma, Yuandong Tian, Vijai Mohan
2024	J	`jnl`	Cliqueformer: Model-Based Optimization with Structured Transformers. CoRR Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
2024	J	`jnl`	Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. CoRR Jakub Grudzien Kuba, Masatoshi Uehara, Pieter Abbeel, Sergey Levine
2024	J	`jnl`	Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang
2023	J	`jnl`	Heterogeneous-Agent Reinforcement Learning. CoRR Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang
2023	J	`jnl`	IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. CoRR Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine
2023	J	`jnl`	Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
2022	A*	`conf`	Discovered Policy Optimisation. NeurIPS Chris Lu, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster
2022	J	`jnl`	Discovered Policy Optimisation. CoRR Chris Lu, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster
2022	J	`jnl`	Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
2022	A*	`conf`	Mirror Learning: A Unifying Framework of Policy Optimisation. ICML Jakub Grudzien Kuba, Christian A. Schröder de Witt, Jakob N. Foerster
2022	J	`jnl`	Mirror Learning: A Unifying Framework of Policy Optimisation. CoRR Jakub Grudzien Kuba, Christian Schröder de Witt, Jakob N. Foerster
2022	A*	`conf`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	A*	`conf`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2022	J	`jnl`	Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. CoRR Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang
2021	J	`jnl`	Multi-Agent Constrained Policy Optimisation. CoRR Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang
2021	A*	`conf`	Settling the Variance of Multi-Agent Policy Gradients. NeurIPS Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Variance of Multi-Agent Policy Gradients. CoRR Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
2021	J	`jnl`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang