Li, HualeCao, RuiHou, XiaohanWang, XuanTang, LinlinZhang, JiajiaQi, ShuhanIn recent years, deep reinforcement learning achieves great success in many fields, especially in the field of games, such as AlphaGo, AlphaZero and AlphaStar. However, reward sparsity is still a problem in the 3D strategy games with a higher dimension of state space and more complex game scenarios. To solve this problem, in this paper, we propose an intrinsic-based policy optimization algorithm (IBPO) for reward sparsity. The IBPO incorporates the intrinsic reward into the traditional policy, which composed by the differential fusion mechanism and the modified value network. The experimental results show our method can obtain better performance than the previous methods on the VizDoom.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    IBPO: Solving 3D Strategy Game with the Intrinsic Reward


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Wu, Tsu-Yang (Herausgeber:in) / Ni, Shaoquan (Herausgeber:in) / Chu, Shu-Chuan (Herausgeber:in) / Chen, Chi-Hua (Herausgeber:in) / Favorskaya, Margarita (Herausgeber:in) / Li, Huale (Autor:in) / Cao, Rui (Autor:in) / Hou, Xiaohan (Autor:in) / Wang, Xuan (Autor:in) / Tang, Linlin (Autor:in)


    Erscheinungsdatum :

    2021-11-30


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    IBPO: Solving 3D Strategy Game with the Intrinsic Reward

    Li, Huale / Cao, Rui / Hou, Xiaohan et al. | TIBKAT | 2022



    REWARD POINT MANAGEMENT DEVICE, REWARD POINT MANAGEMENT METHOD, AND REWARD POINT MANAGEMENT SYSTEM

    YUYAMA HIRONOBU / NUNOKAWA YASUYUKI | Europäisches Patentamt | 2020

    Freier Zugriff

    REWARD ISSUANCE DEVICE, REWARD ISSUANCE SYSTEM, VEHICLE-MOUNTED DEVICE, AND PROGRAM

    UDA NAONORI / AKAI YOSHIYUKI | Europäisches Patentamt | 2020

    Freier Zugriff

    Reward function for vehicles

    RESHEF ROI | Europäisches Patentamt | 2023

    Freier Zugriff