Data-efficient model-based reinforcement learning with trajectory discrimination
文献类型：期刊论文
| 作者 | Qu, Tuo3; Duan, Fuqing3; Zhang, Junge1 ; Zhao, Bo2; Huang, Wenzhen1
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| 刊名 | COMPLEX & INTELLIGENT SYSTEMS
 |
| 出版日期 | 2023-10-11 |
| 页码 | 10 |
| ISSN号 | 2199-4536 |
| 关键词 | Reinforcement learning Deep learning Continuous control task World model |
| DOI | 10.1007/s40747-023-01247-5 |
| 通讯作者 | Duan, Fuqing(fqduan@bnu.edu.cn) |
| 英文摘要 | Deep reinforcement learning has always been used to solve high-dimensional complex sequential decision problems. However, one of the biggest challenges for reinforcement learning is sample efficiency, especially for high-dimensional complex problems. Model-based reinforcement learning can solve the problem with a learned world model, but the performance is limited by the imperfect world model, so it usually has worse approximate performance than model-free reinforcement learning. In this paper, we propose a novel model-based reinforcement learning algorithm called World Model with Trajectory Discrimination (WMTD). We learn the representation of temporal dynamics information by adding a trajectory discriminator to the world model, and then compute the weight of state value estimation based on the trajectory discriminator to optimize the policy. Specifically, we augment the trajectories to generate negative samples and train a trajectory discriminator that shares the feature extractor with the world model. Experimental results demonstrate that our method improves the sample efficiency and achieves state-of-the-art performance on DeepMind control tasks. |
| 资助项目 | This work is supported by National Key Research and Development Project Grant, grant/award number: 2018AAA01008-02.[2018AAA01008-02] ; National Key Research and Development Project Grant |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:001081013100001 |
| 资助机构 | This work is supported by National Key Research and Development Project Grant, grant/award number: 2018AAA01008-02. ; National Key Research and Development Project Grant |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53008]  |
| 专题 | 复杂系统认知与决策实验室 |
| 通讯作者 | Duan, Fuqing |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Beijing Normal Univ, Sch Syst Sci, 19 Xinjiekou Outer St, Beijing 100875, Peoples R China 3.Beijing Normal Univ, Sch Artificial Intelligence, 19 Xinjiekou Outer St, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qu, Tuo,Duan, Fuqing,Zhang, Junge,et al. Data-efficient model-based reinforcement learning with trajectory discrimination[J]. COMPLEX & INTELLIGENT SYSTEMS,2023:10. |
| APA | Qu, Tuo,Duan, Fuqing,Zhang, Junge,Zhao, Bo,&Huang, Wenzhen.(2023).Data-efficient model-based reinforcement learning with trajectory discrimination.COMPLEX & INTELLIGENT SYSTEMS,10. |
| MLA | Qu, Tuo,et al."Data-efficient model-based reinforcement learning with trajectory discrimination".COMPLEX & INTELLIGENT SYSTEMS (2023):10. |
入库方式： OAI收割
来源：自动化研究所
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