Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Authors: Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang
ICML 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we perform extensive experimental studies over many challenging battle games in Star Craft II based on the learning environment SC2LE (Vinyals et al., 2017). |
| Researcher Affiliation | Collaboration | 1Tencent AI Lab, Shenzhen, China 2University of Technology Sydney, Australia 3UBTECH SAIC, Univ. of Sydney, Australia 4Northwestern University, IL, USA 5Hong Kong University of Science and Technology, Hong Kong, China. |
| Pseudocode | No | The paper describes algorithms and architectures but does not include structured pseudocode or an algorithm block. |
| Open Source Code | No | The paper does not provide a specific link to the source code for the methodology described, nor does it explicitly state that the code is open-source or available in supplementary materials. |
| Open Datasets | Yes | In this section, we perform extensive experimental studies over many challenging battle games in Star Craft II based on the learning environment SC2LE (Vinyals et al., 2017). |
| Dataset Splits | No | The paper describes training and testing phases with different randomization, but does not provide specific dataset split percentages, sample counts, or explicit mention of a validation set. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., GPU, CPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions using PPO and an architecture similar to IMPALA but does not provide specific version numbers for any software dependencies required for replication. |
| Experiment Setup | No | The detailed network structures and the training settings are provided in the supplementary material. |