 | Monter d'un niveau |
Abachi, R., Voelcker, C. A., Garg, A., & Farahmand, A.-M. (juillet 2022). VIPer : iterative value-aware model learning on the value improvement path [Communication écrite]. Decision Awareness in Reinforcement Learning Workshop (DARL 2022), Baltimore, MD, USA (10 pages). Lien externe
Liu, G., Adhikari, A. S., Farahmand, A.-M., & Poupart, P. (avril 2022). Learning object-oriented dynamics for planning form text [Affiche]. 10th International Conference on Learning Representations (ICLR 2022), En ligne / Online. Lien externe
Pan, Y., Mei, J., Farahmand, A.-M., White, M., Yao, H., Rohani, M., & Luo, J. (août 2022). Understanding and mitigating the limitations of prioritized experience replay [Communication écrite]. 38th Conference on Uncertainty in Artificial Intelligence (UIA 2022), Eindhoven, The Netherlands. Lien externe
Rakhsha, A., Wang, A., Ghavamzadeh, M., & Farahmand, A.-M. (décembre 2022). Operator splitting value iteration [Présentation]. Dans 37th annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, USA (13 pages). Lien externe
Voelcker, C. A., Liao, V., Garg, A., & Farahmand, A.-M. (avril 2022). Value gradient weighted model-based reinforcement learning [Affiche]. 10th International Conference on Learning Representations (ICLR 2022), En ligne / Online. Lien externe
