Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Authors: Heechang Ryu, Hayong Shin, Jinkyoo Park7236-7243
AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirically, we demonstrate that the proposed model outperforms existing methods in several mixed cooperative and competitive tasks. |
| Researcher Affiliation | Academia | Heechang Ryu, Hayong Shin, Jinkyoo Park Industrial & Systems Engineering, KAIST, Republic of Korea {rhc93, hyshin, jinkyoo.park}@kaist.ac.kr |
| Pseudocode | No | The paper describes the methods using prose and mathematical formulas but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statements about open-source code availability or links to a code repository. |
| Open Datasets | No | The paper describes custom game environments (Cooperative Navigation, Predator-Prey games) without providing access information (links, DOIs, or formal citations with author/year for public datasets) for the data or environments used. |
| Dataset Splits | No | The paper mentions training and testing phases (e.g., "in training, as shown in Figure 3", "during testing with 200 episodes") but does not explicitly provide specific train/validation/test dataset split percentages or sample counts. |
| Hardware Specification | No | The paper does not specify any hardware details (e.g., GPU/CPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers (e.g., programming languages, libraries, frameworks, or solvers). |
| Experiment Setup | No | The paper describes the network architecture (two-layered MLP with 256 units and Re LUs for embedding and attention functions) and total training steps (3 million steps) but does not provide specific hyperparameters such as learning rate, batch size, or optimizer settings. |