Rujikorn Charakorn

According to our database, Rujikorn Charakorn authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Doc-to-LoRA: Learning to Instantly Internalize Contexts.

Rujikorn Charakorn, Edoardo Cetin, Shinnosuke Uesaka, Robert Tjarko Lange

CoRR, February, 2026

2025

$n$-LIPO: Framework for Diverse Cooperative Agent Generation Using Policy Compatibility.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

IEEE Trans. Artif. Intell., November, 2025

From Grunts to Grammar: Emergent Language from Cooperative Foraging.

Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao, Wei Pan, Mingfei Sun, Cheston Tan, Mengmi Zhang

CoRR, May, 2025

Pytester: Deep reinforcement learning for text-to-testcase generation.

Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li

J. Syst. Softw., 2025

Text-to-LoRA: Instant Transformer Adaption.

Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning.

Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li

CoRR, 2024

Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform.

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BAMS: Binary Sequence-Augmented Spectrogram with Self-Attention Deep Learning for Human Activity Recognition.

Natchaya Sricom, Rujikorn Charakorn, Poramate Manoonpong, Tulaya Limpiti

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2023

Generating Diverse Cooperative Agents by Learning Incompatible Policies.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

CoRR, 2021

Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

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, Nat Dilokthanakul

CoRR, 2020

Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning.

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Proceedings of the Neural Information Processing - 27th International Conference, 2020