This work was presented in IVCI 4.0 2022 and will be publisehd in LNEE Springer
- Modification of Original MAAC by adding Dissimialrity Layer to improve performance
- Two types of Dissimialrity Layer is introduced
- Proposed models outperform MAAC in Cooperative treasure collections Environment
Requirements (from MAAC)
- Python 3.6.1 (Minimum)
- OpenAI baselines, commit hash: 98257ef8c9bd23a24a330731ae54ed086d9ce4a7
- fork of Multi-agent Particle Environments
- PyTorch, version: 0.3.0.post4 -> v1.12.1 works
- OpenAI Gym, version: 0.9.4 -> version 0.15.7 works for me
- Tensorboard, version: 0.4.0rc3 and Tensorboard-Pytorch, version: 1.0 (for logging). tensorboard 2.12.2 & tensorboardX 2.6 -> works for me