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Dynamic Programming Recap
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Related lectures (37)
Policy Iteration and Linear Programming in MDPs
Discusses policy iteration and linear programming methods for solving Markov Decision Processes.
Holography in Classical Gravity
Explores hints of holography in classical black hole thermodynamics.
Markov Decision Processes: Foundations of Reinforcement Learning
Covers Markov Decision Processes, their structure, and their role in reinforcement learning.
Linear Quadratic (LQ) Optimal Control: Proof of Theorem
Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.
Inflation and Cosmology
Explores inflation, quantum fluctuations, scalar fields, and their impact on the universe's structure formation.
Untitled
Stability: Poles, Zeros, and Control
Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.
Gravitational Red-Shift and Escape Velocity
Covers the discovery of integrals of motion and the analysis of escape velocity and gravitational red-shift.
Observability and Controllability
Explores observability and controllability in linear systems, emphasizing the significance of input decoupling for observability.
Stable Laws and Limit Theorems
Explores stable laws, limit theorems, and random variable properties.
State Space Control: Discrete Systems
Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.
Large N CFT: AdS/CFT Correspondence
Discusses the AdS/CFT correspondence and its implications for Large N CFT.
Probability Convergence
Explores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.
Gravitational Waves: Energy and Flux
Explores the energy carried by gravitational waves and the total power radiated in a binary system.
Optimal Betting Strategy
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Explores the optimal betting strategy in a dynamic programming gambling problem, emphasizing risk preference impact.
Model-Free Prediction in Reinforcement Learning: Key Methods
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Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.
Numerical Analysis: Stability in ODEs
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Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.
Asset Selling Problem
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Explores the Asset Selling Problem to maximize long-term reward without a deadline.
Asset Selling Problems
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Discusses asset selling problems and optimal selling policies based on market conditions and termination states.
Dynamic Programming: Optimal Decision Making
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Explores dynamic programming for optimizing decision-making processes over time, using real-world examples like oil extraction and stock trading.
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