Rujikorn Charakorn

According to our database, Rujikorn Charakorn authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

2023

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform.

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

CoRR, 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