Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontanon. ICLR 2024.
Publications
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Rujikorn Charakorn, Poramate Manoonpong, and Nat Dilokthanakul. Notable-top-25% @ ICLR 2023
(previously accepted as a spotlight paper at AI4ABM workshop @ ICML 2022).
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning
Rujikorn Charakorn, Poramate Manoonpong, and Nat Dilokthanakul. The 20th International Conference on Autonomous Agents and Multiagent Systems. AAMAS 2021.
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning
Rujikorn Charakorn, Poramate Manoonpong, and Nat Dilokthanakul. The 27th International Conference on Neural Information Processing. ICONIP 2020.
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, and Nat Dilokthanakul. Arxiv pre-print.