DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games

3 December 2020

Papers citing "DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games"

6 / 6 papers shown

Title
Efficient Reinforcement Learning via Decoupling Exploration and Utilization Jingpu Yang Helin Wang Qirui Zhao Zhecheng Shi Zirui Song Miao Fang 101 1 0 26 Dec 2023
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning Derek Yadgaroff Alessandro Sestini Konrad Tollmar Ayca Ozcelikkale Linus Gisslén 83 2 0 22 Sep 2023
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 46 4 0 21 Apr 2021
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 39 2 0 07 Dec 2020
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 36 7 0 04 Dec 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 111 34 0 17 May 2019