Continuous-Time Fitted Value Iteration for Robust Policies
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- Type
- article
- Published
- 2021-10-05
- Cited by
- 11
- References
- 98
- Access
- Open access
- OpenAlex
- https://openalex.org/W36260585
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:238354229
Keywords
Computer science
References
- Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators
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- Planning algorithms
- Controlled Markov processes and viscosity solutions
- Optimal control theory : an introduction
- Calculus of Variations and Optimal Control Theory: A Concise Introduction
- Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach
- Robustness and generalization
- Robust Control of Markov Decision Processes with Uncertain Transition Matrices
- Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints
- Optimal control of nonlinear continuous-time systems: design of bounded controllers via generalized nonquadratic functionals
- Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems
- A sensitivity formula for risk-sensitive cost and the actor-critic algorithm
- Learning to Act Using Real-Time Dynamic Programming
- Reinforcement learning of motor skills in high dimensions: A path integral approach
- Linear theory for control of nonlinear stochastic systems.
- Reinforcement Learning in Continuous Time and Space
- Finite-Time Bounds for Fitted Value Iteration
- Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
Cited by
- Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
- Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs
- Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning
- Reinforcement Twinning: from digital twins to model-based reinforcement learning
- Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees
- Kernel-Based Optimal Control: An Infinitesimal Generator Approach
- Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
- Memristive Bellman solver for decision-making
- Is Bellman Equation Enough for Learning Control?
- Mitigating the Curse of Horizon in Monte-Carlo Returns
- Generalized Policy Iteration using Tensor Approximation for Hybrid Control
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