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gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ...
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Abstract:
In real-world decision optimization, often multiple competing objectives must be taken into account. Following classical reinforcement learning, these objectives have to be combined into a single reward function. In contrast, multi-objective reinforcement learning (MORL) methods learn from vectors of per-objective rewards instead. In the case of multi-policy MORL, sets of decision policies for various preferences regarding the conflicting objectives are optimized. This is especially important when target preferences are not known during training or when preferences change dynamically during application. While it is, in general, straightforward to extend a single-objective reinforcement learning method for MORL based on linear scalarization, solutions that are reachable by these methods are limited to convex regions of the Pareto front. Non-linear MORL methods like Thresholded Lexicographic Ordering (TLO) are designed to overcome this limitation. Generalized MORL methods utilize function approximation to ...
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Keyword:
68T05, 68T42; Artificial Intelligence cs.AI; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.8; Machine Learning cs.LG; Systems and Control eess.SY
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URL: https://dx.doi.org/10.48550/arxiv.2204.04988 https://arxiv.org/abs/2204.04988
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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In: Symmetry; Volume 14; Issue 2; Pages: 202 (2022)
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Limites no emprego dos sistemas aéreos autónomos à luz do direito internacional humanitário
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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Verification of Program Transformations with Inductive Refinement Types
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In: ISSN: 1049-331X ; ACM Transactions on Software Engineering and Methodology ; https://hal.inria.fr/hal-03518825 ; ACM Transactions on Software Engineering and Methodology, Association for Computing Machinery, 2021, 30 (1), pp.1-33. ⟨10.1145/3409805⟩ (2021)
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Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making ...
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Evolution of human computer interaction
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In: Sci. Visualization ; Scientific Visualization (2021)
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Place perception from the fusion of different image representation
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In: Li, P, Li, X, Li, X, Pan, H, Khyam, MO, Noor-A-Rahim, M, Ge, SS, (2020). Place perception from the fusion of different image representation. Pattern Recognition, Vol. 110, p. 1-11 http://dx.doi.org/10.1016/j.patcog.2020.107680 (2020)
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Искусственный интеллект в задачах распознавания динамических жестов ... : Artificial Intelligence in Recognition of Dynamic Gestures ...
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Chance-Constrained Control with Lexicographic Deep Reinforcement Learning ...
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Constraining Counterexamples in Hybrid System Falsification: Penalty-Based Approaches ...
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A Framework for Current-State Opacity under Dynamic Information Release Mechanism ...
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Design and Development of a New Control System for Improving Energy Efficiency and Demand Response
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Fuzzy Control Systems: Past, Present and Future
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In: ISSN: 1556-603X ; IEEE Computational Intelligence Magazine ; https://hal-uphf.archives-ouvertes.fr/hal-03644439 ; IEEE Computational Intelligence Magazine, Institute of Electrical and Electronics Engineers, 2019, 14 (1), pp.56-68. ⟨10.1109/MCI.2018.2881644⟩ (2019)
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EFFICIENT FUZZY IDENTIFICATION BASED ON INFERENCE ERROR ...
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EFFICIENT FUZZY IDENTIFICATION BASED ON INFERENCE ERROR ...
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The Need to Reconcile Concepts that Characterize Systems Withstanding Threats ...
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Global Aviation System: Towards Sustainable Development
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In: International Journal of Aviation, Aeronautics, and Aerospace (2019)
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