Bellman Equations Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Nonconvex Homogenization for 1D Controlled Brownian Motion in a Random Potential

Explores stochastic control of Brownian motion in random potentials, analyzing optimal payoff growth and Bellman equation homogenization. Discusses effective Hamiltonians and distinct control regimes.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Pascal Poupart

Distributional RL

Explore distributional reinforcement learning, covering return distribution, policy evaluation, and the C51 algorithm, with insights into its advantages and applications in Atari games.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Nvidia Deep Learning Institute;  Unity Microcredential

Deep Reinforcement Learning

357 ratings at Udacity

Master deep reinforcement learning techniques to train AI agents for navigation, financial trading, and multi-agent systems. Implement classical and modern RL algorithms using PyTorch.

• Udacity
• 83 hours
• On-Demand
• Paid Course

Q-Learning Unleashed: Building Intelligent Agents

Master Q-learning from fundamentals to implementation, building intelligent agents with exploration policies and decision-making capabilities in practical environments.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Learn Ventures

Fundamentals of Deep Reinforcement Learning

Learn the theoretical foundations of Deep Learning through practical Python code.

• edX
• 8 weeks, 2-6 hours a week
• On-Demand
• Free Online Course (Audit)

Society for Industrial and Applied Mathematics

Finite Dimensional Approximations of Hamilton-Jacobi-Bellman Equations in Probability Measure Spaces - SIAM PDE Seminar

Explore finite dimensional approximations of Hamilton-Jacobi-Bellman equations in probability measure spaces, focusing on convergence of viscosity solutions and representation formulas for limiting equations.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

Invariant Integrated Convexity Profiles for Hamilton-Jacobi-Bellman Equations

Explore invariant integrated convexity profiles for Hamilton-Jacobi-Bellman equations in this mathematical conference talk by Giovanni Conforti, delving into PDE and probability interactions.

• YouTube
• 54 minutes
• On-Demand
• Free Video

USC Probability and Statistics Seminar

Set Valued Hamilton-Jacobi-Bellman Equations - Applications and Theory

Explore set valued PDEs and their applications in stochastic optimization, risk measures, and game theory. Learn about dynamic programming principles and set valued HJB equations.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Reinforcement Learning

Learn key concepts and algorithms in reinforcement learning, including bandit algorithms, dynamic programming, and policy gradient methods, from industry experts.

• Edureka
• On-Demand
• Paid Course

CodeEmporium

Reinforcement Learning 101

Discover the fundamentals of reinforcement learning through multi-armed bandits, Q-learning, deep Q-networks, and policy optimization techniques used in modern AI systems.

• YouTube
• 2 hours 4 minutes
• On-Demand
• Free Video

Serrano.Academy

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

Friendly exploration of deep reinforcement learning concepts, including Markov decision processes, Q-networks, and policy gradients, using examples and visuals to explain complex ideas.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Pascal Poupart

CS885 - Semi-Markov Decision Processes

Explore semi-Markov decision processes, reinforcement learning, and queueing theory. Learn about Bellman's equation and the option framework for advanced decision-making strategies.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Simons Institute

Deep Robust Reinforcement Learning and Regularization

Explore robust reinforcement learning, addressing uncertainties in deep RL through regularization techniques. Gain insights into robust MDPs, policy evaluation, and uncertainty-aware Bellman equations.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Simons Institute

Online Learning in Markov Decision Processes - Part 1

Explore online learning in Markov Decision Processes, covering theory, algorithms, and optimal strategies for reinforcement learning in dynamic environments.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Simons Institute

Reinforcement Learning via an Optimization Lens

Explore reinforcement learning through an optimization lens, covering MDPs, Bellman equations, and novel approaches to solving RL problems using linear programming and primal-dual formulations.

• YouTube
• 47 minutes
• On-Demand
• Free Video