Documents publiés en "2024"

Article de revue

Govindarajan, P., Miret, S., Rector-Brooks, J., Phielipp, M., Rajendran, J., & Chandar, S. (2024). Learning conditional policies for crystal design using offline reinforcement learning. Digital Discovery, 3(4), 769-785. Disponible

Communication écrite

Anbil Parthipan, S. C., Khetarpal, K., Rajendran, J., & Riemer, M. (décembre 2024). Balancing Context Length and Mixing Times for Reinforcement Learning at Scale [Communication écrite]. 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada. Lien externe

Bouchoucha, R., Haj Yahmed, A., Patil, D., Rajendran, J., Nikanjam, A., Anbil Parthipan, S. C., & Khomh, F. (octobre 2024). Toward Debugging Deep Reinforcement Learning Programs with RLExplorer [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2024), Flagstaff, AZ, USA. Lien externe

Patil, D., Rajendran, J., Berseth, G., & Anbil Parthipan, S. C. (mai 2024). Intelligent Switching for Reset-Free RL [Communication écrite]. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria. Lien externe

Samsami, M. R., Zholus, A., Rajendran, J., & Anbil Parthipan, S. C. (mai 2024). Mastering Memory Tasks with World Models [Communication écrite]. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria. Lien externe