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Reinforcement Learning | AlgoNerd

TRACK 19•Classical AI Track•ADVANCED

Reinforcement Learning

Name: Reinforcement Learning
Price: 3499.00 INR
Availability: InStock

Q-learning, policy gradients, and deep RL — teach AI to learn from interaction.

Algorithms from ScratchReal-World Datasets & ExperimentsFull Syllabus Access

Instructor

•

13 Modules

•

13 Lessons & Labs

Enrollment1-Year Full Access

₹3,499

Instant 24/7 course activation & access

1-Year full access to all 13 modules & labs

Verified Certificate of Completion

Please login or register to access the curriculum modules.

Overview & Outcomes

Course Learning Objectives

Learn how AI agents learn from interaction. Agents, environments, rewards, policies, value functions, the Bellman equation, Q-learning, SARSA, policy gradients, and deep RL.

Core Curriculum Competencies

What you'll master

Markov Decision Processes (MDPs): states, actions, rewards & discount factor
Value functions, Q-functions & Bellman optimality equations
Model-based vs model-free RL algorithms

Dynamic Programming: Policy Iteration & Value Iteration

Monte Carlo methods & Temporal Difference (TD) learning

Q-Learning & SARSA on Gymnasium/OpenAI Gym environments

Syllabus & Modules

Course Curriculum

A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.

Module 1: Agents, Environments & the MDP Framework

1 Lessons

1.1Agents, Environments & the MDP FrameworkREADING

Module 2: States, Actions & Rewards

1 Lessons

2.1States, Actions & RewardsREADING

Module 3: Policies & Value Functions

Locked

3.1Policies & Value FunctionsREADING

Module 4: The Bellman Equation

Locked

4.1The Bellman EquationREADING

Module 5: Exploration vs Exploitation

Locked

5.1Exploration vs ExploitationREADING

Module 6: Q-Learning

Locked

6.1Q-LearningREADING

Full Syllabus Gated (11+ Modules)

Unlock Full Curriculum & Labs

Enroll to unlock all 13 modules, 13 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.

Lead Instructor & Mentor

Instructor

Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.