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.
ICLR 2023 (Spotlight, 5.65% accept rate, tied for 24th highest rated paper)
ICML 2022 AI4ABM Workshop (Spotlight)
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning
Rujikorn Charakorn, Poramate Manoonpong, and Nat Dilokthanakul.
AAMAS 2021
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning
Rujikorn Charakorn, Poramate Manoonpong, and Nat Dilokthanakul.
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