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Publication search results
found 230 matches
- 2024
- Hannah Yee, Heletjé E. van Staden, Robert N. Boute:
Dual sourcing under non-stationary demand and partial observability. Eur. J. Oper. Res. 314(1): 94-110 (2024) - Iordanis Tseremoglou, Bruno Filipe Santos:
Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach. Reliab. Eng. Syst. Saf. 241: 109582 (2024) - Hai S. Le, Brendan Juba, Roni Stern:
Learning Safe Action Models with Partial Observability. AAAI 2024: 20159-20167 - Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard:
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. CoRR abs/2402.05703 (2024) - Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons:
When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR abs/2402.17747 (2024) - Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya:
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist. CoRR abs/2402.18002 (2024) - Jakub Michaliszyn, Jan Otop:
Deterministic Weighted Automata under Partial Observability. CoRR abs/2403.00390 (2024) - 2023
- Alper Demir, Erkin Çilden, Faruk Polat:
Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1543-1563 (2023) - Alper Demir, Erkin Çilden, Faruk Polat:
Correction: Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1565 (2023) - Mustafa O. Karabag, Melkior Ornik, Ufuk Topcu:
Exploiting Partial Observability for Optimal Deception. IEEE Trans. Autom. Control. 68(7): 4443-4450 (2023) - Yanjie Chen, Jiangjiang Liu, Limin Lan, Hui Zhang, Zhiqiang Miao, Yaonan Wang:
A Fast Online Planning Under Partial Observability Using Information Entropy Rewards. IEEE Trans. Ind. Informatics 19(12): 11596-11607 (2023) - Michele Cirillo, Vincenzo Matta, Ali H. Sayed:
Estimating the Topology of Preferential Attachment Graphs Under Partial Observability. IEEE Trans. Inf. Theory 69(2): 1355-1380 (2023) - Hasra Dodampegama, Mohan Sridharan:
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. Theory Pract. Log. Program. 23(4): 696-714 (2023) - Steven Carr, Nils Jansen, Sebastian Junges, Ufuk Topcu:
Safe Reinforcement Learning via Shielding under Partial Observability. AAAI 2023: 14748-14756 - Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos:
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. AAAI 2023: 9038-9046 - Victor Vantilborgh, Tom Lefebvre, Guillaume Crevecoeur:
Data-driven Identification of Stochastic System Dynamics under Partial Observability Using Physics-Based Model Priors with Application to Acrobot. AIM 2023: 979-985 - Joudi Hajar, Taylan Kargin, Babak Hassibi:
Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability. Allerton 2023: 1-6 - Farid Rajabali, Roland P. Malhamé:
Can Mean Field Game Equilibria Amongst Exchangeable Agents Survive Under Partial Observability of Their Competitors' States? CDC 2023: 8188-8193 - Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato:
Equivariant Reinforcement Learning under Partial Observability. CoRL 2023: 3309-3320 - João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. ECAI 2023: 1954-1961 - Danyaal Mahmood, Usama Arshad, Raja Hashim Ali, Zain Ul Abideen, Muhammad Huzaifa Shah, Talha Ali Khan, Ali Zeeshan Ijaz, Nisar Ali, Abu Bakar Siddique:
Exploiting Partial Observability and Optimized Simple State Representations in Deep Q-Learning. FIT 2023: 25-30 - Anthony Spriet, Didier Lime, Olivier H. Roux:
Timed Non-interference Under Partial Observability and Bounded Memory. FORMATS 2023: 122-137 - Yahuza Bello, Ahmed Refaey, Abdallah Shami:
Secure Migration in NGN: An Optimal Stopping Problem Approach with Partial Observability. GLOBECOM 2023: 2680-2685 - Michele Cirillo, Vincenzo Matta, Ali H. Sayed:
Learning Dynamic Graphs under Partial Observability. ICASSP 2023: 1-5 - Islam Utyagulov, Francois Buet-Golfouse, Peter Hill:
Fairness Under Partial Observability. Tiny Papers @ ICLR 2023 - Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. ICML 2023: 27840-27853 - Edi Muskardin, Martin Tappler, Bernhard K. Aichernig, Ingo Pill:
Reinforcement Learning Under Partial Observability Guided by Learned Environment Models. iFM 2023: 257-276 - Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang:
Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. IJCNN 2023: 1-8 - Sven Gronauer, Daniel Stümke, Klaus Diepold:
Comparing Quadrotor Control Policies for Zero-Shot Reinforcement Learning under Uncertainty and Partial Observability. IROS 2023: 7508-7514
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