| Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms S Huang, RFJ Dossa, C Ye, J Braga, D Chakraborty, K Mehta, ... Journal of Machine Learning Research 23 (274), 1-18, 2022 | 323 | 2022 |
| The 37 implementation details of proximal policy optimization S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang The ICLR Blog Track 2023, 2022 | 130 | 2022 |
| A2C is a special case of PPO S Huang, A Kanervisto, A Raffin, W Wang, S Ontañón, RFJ Dossa arXiv preprint arXiv:2205.09123, 2022 | 28 | 2022 |
| An empirical investigation of early stopping optimizations in proximal policy optimization RFJ Dossa, S Huang, S Ontañón, T Matsubara IEEE access 9, 117981-117992, 2021 | 16 | 2021 |
| A human-like agent based on a hybrid of reinforcement and imitation learning RFJ Dossa, X Lian, H Nomoto, T Matsubara, K Uehara 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 12 | 2019 |
| Open rl benchmark: Comprehensive tracked experiments for reinforcement learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 9 | 2024 |
| The 37 implementation details of proximal policy optimization (2022) S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang URL https://iclr-blog-track. github. io/2022/03/25/ppoimplementation-details, 2023 | 6 | 2023 |
| High-quality single-file implementation of deep reinforcement learning algorithms S Huang, R Dossa, CY Cleanrl GitHub repository, 2020 | 6 | 2020 |
| Hybrid of reinforcement and imitation learning for human-like agents RFJ Dossa, X Lian, H Nomoto, T Matsubara, K Uehara IEICE TRANSACTIONS on Information and Systems 103 (9), 1960-1970, 2020 | 5 | 2020 |
| Open-loop VLM Robot Planning: An Investigation of Fine-tuning and Prompt Engineering Strategies S Akiyama, RFJ Dossa, K Arulkumaran, S Sujit, E Johns First Workshop on Vision-Language Models for Navigation and Manipulation at …, 2024 | 3 | 2024 |
| Design and evaluation of a global workspace agent embodied in a realistic multimodal environment RFJ Dossa, K Arulkumaran, A Juliani, S Sasai, R Kanai Frontiers in Computational Neuroscience 18, 1352685, 2024 | 2 | 2024 |
| A comparison of visual and auditory EEG interfaces for robot multi-stage task control K Arulkumaran, M Di Vincenzo, RFJ Dossa, S Akiyama, D Ogawa Lillrank, ... Frontiers in Robotics and AI 11, 1329270, 2024 | 1 | 2024 |
| Improving Low-Cost Teleoperation: Augmenting GELLO with Force S Sujit, L Nunziante, DO Lillrank, RFJ Dossa, K Arulkumaran 2025 IEEE/SICE International Symposium on System Integration (SII), 747-752, 2025 | | 2025 |
| Human Cognition-Inspired High-Level Decision-Making for Reinforcement Learning Agents RFJ Dossa 神戸大学, 2023 | | 2023 |
| Optimizing River Discharge Forecasts with Machine Learning for Japanese Public Dams Operation H Tristan, K Yoshimi, R Dossa, T Takiguchi 国民経済雑誌 227 (2), 45-64, 2023 | | 2023 |
| Hybrid Reinforcement and Imitation Learning for Human-Like Agents RFJ Dossa, X Lian, H Nomoto, T Matsubara, K Uehara IEICE Technical Report; IEICE Tech. Rep. 119 (88), 69-74, 2019 | | 2019 |
| A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning X Lian, RFJ Dossa, H Nomoto, T Matsubara, K Uehara IEICE Technical Report; IEICE Tech. Rep. 118 (316), 45-50, 2018 | | 2018 |
| Optimizing Japanese dam reservoir inflow forecast for efficient operation K Yoshimi, T Hascoet, R Dossa, R Takashima, T Takiguchi, S Oishi | | |
| Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents RFJ Dossa, T Matsubara Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 0 | | |
