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Farahmand, Amir-Massoud

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Farahmand, Amir-Massoud

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Article de revue (7) Communication de conférence (53) Livre Chapitre de livre Brevet (1) Rapport Thèse (3) Ensemble de données Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Amir Massoud Farahmand (64)

Articles de revue (7)
- 2023
  - Ma, A., Pan, Y., & Farahmand, A.-M. (2023). Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Transactions on Machine Learning Research, 57 pages.
- 2019
  - Benosman, M., Farahmand, A.-M., & Xia, M. (2019). Learning-based iterative modular adaptive control for nonlinear systems. International Journal of Adaptive Control and Signal Processing, 33(2), 335-355.
- 2016
  - Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (2016). Regularized policy iteration with non parametric function spaces. Journal of Machine Learning Research, 17(139), 66 pages.
- 2015
  - Farahmand, A.-M., Precup, D., Barreto, A. M., & Ghavamzadeh, M. (2015). Classification-Based Approximate Policy Iteration. IEEE Transactions on Automatic Control, 60(11), 2989-2993.
- 2012
  - Farahmand, A.-M., & Szepesvári, C. (2012). Regularized least-squares regression: Learning from a β-mixing sequence. Journal of Statistical Planning and Inference, 142(2), 493-505.
- 2011
  - Farahmand, A.-M., & Szepesvári, C. (2011). Model selection in reinforcement learning. Machine Learning, 85(3), 299-332.
- 2010
  - Farahmand, A.-M., Ahmadabadi, M. N., Lucas, C., & Araabi, B. N. (2010). Interaction of Culture-Based Learning and Cooperative Co-Evolution and its Application to Automatic Behavior-Based System Design. IEEE Transactions on Evolutionary Computation, 14(1), 23-57.
Communications de conférence (53)
- 2024
  - Pirmorad, E., Mansouri, F., & Farahmand, A.-M. (décembre 2024). Deep reinforcement learning for online control of stochastic partial differenctial equations [Communication écrite]. 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada (6 pages).
  - Hussing, M., Voelcker, C. A., Gilitschenski, I., Farahmand, A.-M., & Eaton, E. (août 2024). Dissecting Deep RL with high update ratios : combatting value divergence [Communication écrite]. Reinforcement Learning Conference (RLC 2024), Amherst, Massachusetts, USA (24 pages).
  - Ma, A., Farahmand, A.-M., Pan, Y., Torr, P., & Gu, J. (septembre 2024). Improving Adversarial Transferability via Model Alignment [Communication écrite]. 18th European Conference on Computer Vision (ECCV 2024), Milan, Italy.
  - Rakhsha, A., Kemertas, M., Ghavamzadeh, M., & Farahmand, A.-M. (mai 2024). Maximum entropy model correction in reinforcement learning [Présentation]. Dans 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austsria.
  - Bedaywi, M., Rakhsha, A., & Farahmand, A.-M. (août 2024). PID accelerated temporal difference algorithms [Communication écrite]. Reinforcement Learning Conference (RLC 2024), Amherst, Massachusetts, USA (25 pages).
  - Voelcker, C. A., Kastner, T., Gilitschenski, I., & Farahmand, A.-M. (août 2024). When does self-prediction help? Understanding auxiliary tasks in reinforcement learning [Communication écrite]. Reinforcement Learning Conference (RLC 2024), Amherst, Massachusetts, USA (31 pages).
- 2023
  - Kastner, T., Erdogdu, M. A., & Farahmand, A.-M. (décembre 2023). Distributional model equivalence for risk-sensitive reinforcement learning [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA (22 pages).
- 2022
  - 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.
  - 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).
  - 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.
  - 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.
  - 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).
- 2021
  - Bedaywi, M., & Farahmand, A.-M. (juillet 2021). PID accelerated temporal difference algorithms [Communication écrite]. 38th International Conference on Machine Learning (ICML 2021), En ligne / Online.
- 2020
  - Pan, Y., Imani, E., Farahmand, A.-M., & White, M. (décembre 2020). An implicit function learning approach for parametric modal regression [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), En ligne / Online (11 pages).
  - Pan, Y., Mei, J., & Farahmand, A.-M. (avril 2020). Frequency-based search-control in Dyna [Communication écrite]. 8th International Conference on Learning Representations (ICLR 2020), En ligne / Online (21 pages).
- 2019
  - Law, M. T., Snell, J., Farahmand, A.-M., Urtasun, R., & Zemel, R. S. (mai 2019). Dimensionality reduction for representing the knowledge of prababilistic models [Communication écrite]. 7th International Conference on Learning Representations (ICLR 2019), New Orleans, Louisiana (34 pages).
  - Pan, Y., Yao, H., Farahmand, A.-M., & White, M. (août 2019). Hill climbing on value estimates for search-control in Dyna [Communication écrite]. 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China.
  - Akrout, M., Farahmand, A.-M., Jarmain, T., & Abid, L. (octobre 2019). Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning [Communication écrite]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China.
  - Farahmand, A.-M. (décembre 2019). Value function in frequency domain and the characteristic value iteration algorithm [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, BC, Canada (12 pages).
- 2018
  - Farahmand, A.-M. (décembre 2018). Iterative value-aware model learning [Communication écrite]. 32th Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Qc, Canada (12 pages).
  - Pan, Y., Farahmand, A.-M., White, M., Nabi, S., Gover, P., & Nikovski, D. (juillet 2018). Reinforcement learning with function-valued action spaces for partial differential equation control [Communication écrite]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden.
- 2017
  - Farahmand, A.-M., Nabi, S., & Nikovski, D. N. (mai 2017). Deep reinforcement learning for partial differential equation control [Communication écrite]. American Control Conference (ACC 2017), Seattle, WA, USA.
  - Pourazarm, S., Farahmand, A.-M., & Nikovski, D. N. (octobre 2017). Fault detection and prognosis of time series data with random projection filter bank [Communication écrite]. 9th annual Conference of the Prognostics and Health Management Society (PHM 2017), St. Petersburg, FL, USA (11 pages).
  - Farahmand, A.-M., Pourazarm, S., & Nikovski, D. N. (décembre 2017). Random projection filter bank for time series data [Communication écrite]. 31st annual Conference on Neural Information Processing systsems (NeurIPS 2017), Long Beauch, CA, USA (11 pages).
  - Farahmand, A.-M., Barreto, A. M., & Nikovski, D. N. (avril 2017). Value-aware loss function for model-based reinforcement learning [Communication écrite]. 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Fort Lauderdale, FL, USA.
- 2016
  - Farahmand, A.-M. (décembre 2016). Iterative value-aware model learning [Présentation]. Dans 13th European Workshop on Reinforcement Learning (EWRL 2016), Barcelona, Spain.
  - Benosman, M., Farahmand, A.-M., & Xia, M. (juillet 2016). Learning-based modular indirect adaptive control for a class of nonlinear systems [Communication écrite]. American Control Conference (ACC 2016), Boston, MA, USA.
  - Farahmand, A.-M., Nabi, S., Grover, P., & Nikovski, D. N. (décembre 2016). Learning to control partial differential equations: Regularized Fitted Q-Iteration approach [Communication écrite]. 55th IEEE Conference on Decision and Control (CDC 2016), Las Vegas, NV, USA (8 pages).
  - Farahmand, A.-M., Nikovski, D. N., Igarashi, Y., & Konaka, H. (février 2016). Truncated approximate dynamic programming with task-dependent terminal value [Résumé]. 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Phoenix, Arizona, USA.
  - Farahmand, A.-M. (décembre 2016). Value-aware loss function for model-based reinforcement learning [Communication écrite]. 13th European Workshop on Reinforcement Learning (EWRL 2016), Barcelona, Spain (8 pages).
- 2015
  - Huang, D.-A., Farahmand, A.-M., Kitani, K. M., & Bagnell, J. A. (juin 2015). Approximate MaxEnt inverse optimal control [Communication écrite]. Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, CAnada (5 pages).
  - Huang, D.-A., Farahmand, A.-M., Kitani, K. M., & Bagnell, J. A. (janvier 2015). Approximate maxent inverse optimal control and its application for mental simulation of human interactions [Résumé]. 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas, USA.
  - Bagnell, J. A., & Farahmand, A.-M. (décembre 2015). Learning positive functions in a Hilbert Space [Communication écrite]. 8th NIPS Workshop on Optimization for Machine Learning (OPT 2015), Montreal, Qc, Canada (10 pages).
- 2014
  - Bachman, P., Farahmand, A.-M., & Precup, D. (juin 2014). Sample-based approximate regularization [Communication écrite]. 31st International Conference on Machine Learning (ICML 2014), Beijing, China (9 pages).
- 2013
  - Kim, B., Farahmand, A.-M., Pineau, J., & Precup, D. (octobre 2013). Approximate policy iteration with demonstrated data [Communication écrite]. Multi-Disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Princeton, NJ, USA.
  - Fard, M. M., Grinberg, Y., Farahmand, A.-M., Pineau, J., & Precup, D. (décembre 2013). Bellman error based feature generation using random projections on sparse spaces [Communication écrite]. 27th Conference on Neural Information Processing Systems (NeurIPS 2013), Las Vegas, NV, USA (9 pages).
  - Farahmand, A.-M., Precup, D., Barreto, A. M. S., & Ghavamzadeh, M. (octobre 2013). CAPI : generalized classification-based approximate policy iteration [Communication écrite]. Multi-Disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Princeton, NJ, USA.
  - Kim, B., Farahmand, A.-M., Pineau, J., & Precup, D. (décembre 2013). Learning from limited demonstration [Communication écrite]. 27th Conference on Neural Information Processing Systems (NeurIPS 2013), Las Vegas, NV, USA (9 pages).
- 2012
  - Farahmand, A.-M., & Precup, D. (décembre 2012). Value pursuit iteration [Communication écrite]. 26th annual Conference on Neural Information Processing Systems (NeurIPS 2012), Lake Tahoe, Nevada, USA (9 pages).
- 2011
  - Farahmand, A.-M. (décembre 2011). Action-Gap phenomenon in reinforcement learning [Communication écrite]. 25th annual Conference on Neural Information Processing Systems (NeurIPS 2011), Granada, Spain (9 pages).
- 2010
  - Farahmand, A.-M., Szepesvari, C., & Munos, R. (décembre 2010). Error propagation for approximate policy and value iteration [Communication écrite]. 24th annual Conference on Neural Information Processing Systems (NeurIPS 2010), Vancouver, CB, Canada (9 pages).
  - Shademan, A., Farahmand, A.-M., & Jägersand, M. (mai 2010). Robust Jacobian estimation for uncalibrated visual servoing [Communication écrite]. IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, AK, USA.
- 2009
  - Farahmand, A.-M., Shademan, A., Jagersand, M., & Szepesvari, C. (mai 2009). Model-based and model-free reinforcement learning for visual servoing [Communication écrite]. IEEE International Conference on Robotics and Automation, Kobe, Japan.
  - Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (juin 2009). Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems [Communication écrite]. American Control Conference (ACC 2009), St. Louis, MO, USA.
  - Shademan, A., Farahmand, A.-M., & Jagersand, M. (mai 2009). Towards Learning Robotic Reaching and Pointing: An Uncalibrated Visual Servoing Approach [Communication écrite]. Canadian Conference on Computer and Robot Vision (CCRV 2009), Kelowna, BC, Canada.
- 2008
  - Farahmand, A.-M., Ghavamzadeh, M., Szepesvári, C., & Mannor, S. (juin 2008). Regularized Fitted Q-Iteration: Application to Planning [Communication écrite]. 8th European Workshop on Recent Advances in Reinforcement Learning (EWRL 2008), Villeneuve d'Ascq, France.
  - Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (décembre 2008). Regularized policy iteration [Communication écrite]. 22th annual Conference on Neural Information Processing Systems (NeurIPS 2008), Vancouver, CB, Canada (8 pages).
- 2007
  - Farahmand, A.-M., Shademan, A., & Jagersand, M. (octobre 2007). Global visual-motor estimation for uncalibrated visual servoing [Communication écrite]. IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA.
  - Farahmand, A.-M., Szepesvári, C., & Audibert, J.-Y. (juin 2007). Manifold-adaptive dimension estimation [Communication écrite]. 24th international conference on Machine learning (ICML 2007), Corvalis, Oregon, USA.
- 2006
  - Farahmand, A.-M., & Yazdanpanah, M. J. (juillet 2006). Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network [Communication écrite]. IEEE International Joint Conference on Neural Network Proceedings (IJCNN 2006), Vancouver, BC, Canada.
  - Azar, M. G., Ahmadabadi, M. N., Farahmand, A.-M., & Araabi, B. N. (juillet 2006). Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning [Communication écrite]. IEEE International Joint Conference on Neural Network Proceedings (IJCNN 2006), Vancouver, BC, Canada.
- 2001
  - Farahmand, A.-M., Akhbari, R., & Tajvidi, M. (mars 2001). Evolving hidden Markov models [Communication écrite]. 4th Iranian Student Conference on Electrical Engineering (ISCEE 2001), Tehran, Iran.
- 2000
  - Farahmand, A.-M., & Mirmirani, E. (janvier 2000). Distributed genetic algorithms [Communication écrite]. 3rd Iranian Student Conference on Electrical Engineering (ISCEE 2000), Tehran, Iran.
Brevets (1)
- 2020
  - Nikovski, D. N., Zhu, Y., & Farahmand, A.-M. (2020). Methods and systems for discovery of prognostic subsequences in time series. (Brevet no US10712733).
Thèses (3)
- 2011
  - Farahmand, A.-M. (2011). Regularization in reinforcement learning [Thèse de doctorat, University of Alberta].
- 2005
  - Farahmand, A.-M. (2005). Learning and evolution in hierarchical behavior-based systems [Mémoire de maîtrise, University of Tehran].
- 2002
  - Farahmand, A.-M. (2002). Calculating resonant frequencies of a metallic cavity using finite element method [Mémoire de maîtrise, K.N. Toosi University of Technology].

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Farahmand, Amir-Massoud

Répertoire des expertises

Farahmand, Amir-Massoud

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Amir Massoud Farahmand (64)