Rujikorn Charakorn

17 papers A* 4A 1C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Doc-to-LoRA: Learning to Instantly Internalize Contexts. CoRR Rujikorn Charakorn, Edoardo Cetin, Shinnosuke Uesaka, Robert Tjarko Lange
2025	J	`jnl`	$n$-LIPO: Framework for Diverse Cooperative Agent Generation Using Policy Compatibility. IEEE Trans. Artif. Intell. Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2025	J	`jnl`	From Grunts to Grammar: Emergent Language from Cooperative Foraging. CoRR Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao, Wei Pan, Mingfei Sun, Cheston Tan, Mengmi Zhang
2025	J	`jnl`	Pytester: Deep reinforcement learning for text-to-testcase generation. J. Syst. Softw. Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li
2025	A*	`conf`	Text-to-LoRA: Instant Transformer Adaption. ICML Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2025	J	`jnl`	Text-to-LoRA: Instant Transformer Adaption. CoRR Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2024	C	`conf`	BAMS: Binary Sequence-Augmented Spectrogram with Self-Attention Deep Learning for Human Activity Recognition. BSN Natchaya Sricom, Rujikorn Charakorn, Poramate Manoonpong, Tulaya Limpiti
2024	A*	`conf`	Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
2024	A*	`conf`	Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners. NeurIPS Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2024	J	`jnl`	Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR 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
2024	J	`jnl`	TDD Without Tears: Towards Test Case Generation from Requirements through Deep Reinforcement Learning. CoRR Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn, Yuan-Fang Li
2023	J	`jnl`	Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
2023	A*	`conf`	Generating Diverse Cooperative Agents by Learning Incompatible Policies. ICLR Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2021	J	`jnl`	Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning. CoRR Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2021	A	`conf`	Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. AAMAS Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
2020	J	`jnl`	An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. CoRR Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
2020	—	`conf`	Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning. ICONIP (5) Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul