1 code implementation • 28 May 2024 • Lang Feng, Pengjie Gu, Bo An, Gang Pan
As the structure evolves with the integration of new trajectories, unreliable states are marginalized, and the most impactful nodes are prioritized for decision-making.
2 code implementations • 5 Mar 2024 • Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
Despite the success in specific tasks and scenarios, existing foundation agents, empowered by large models (LMs) and advanced tools, still cannot generalize to different scenarios, mainly due to dramatic differences in the observations and actions across scenarios.
no code implementations • 11 Sep 2023 • Huajin Tang, Pengjie Gu, Jayawan Wijekoon, MHD Anas Alsakkal, ZiMing Wang, Jiangrong Shen, Rui Yan
Neuromorphic computing holds the promise to achieve the energy efficiency and robust learning performance of biological neural systems.
no code implementations • 29 Sep 2021 • Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
Offline reinforcement learning is a promising approach for practical applications since it does not require interactions with real-world environments.
no code implementations • ICLR 2022 • Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An
Autonomous agents often need to work together as a team to accomplish complex cooperative tasks.