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शुरू होता है 4 June 2026 17:06
समाप्त होता है 4 June 2026
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दिन
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घंटे
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मिनट
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सेकंड
14 minutes
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Free Video
वैकल्पिक अपग्रेड उपलब्ध है
अवलोकन
Dive into building a simple reflex agent in Python that navigates a 2x2 grid to detect and clean dirty rooms, using if-then logic and Matplotlib for visualization.
पाठ्यक्रम
- Introduction to Simple Reflex Agents
- Overview of the Project
- Setting Up the Development Environment
- Designing the Reflex Agent
- Implementing the Grid Environment
- Coding the Simple Reflex Agent
- Integrating the Agent with the Environment
- Visualizing with Matplotlib
- Testing and Debugging
- Extending the Basic Agent
- Course Conclusion
Definition and characteristics of reflex agents
Basic logic-based decision making
Project goals and scope
Introduction to the 2x2 grid environment
Installing Python and necessary libraries
Introduction to Matplotlib for visualizing the grid
Understanding the percepts and actions
Implementing if-then rules for decision making
Representing the grid in Python
Defining grid states: clean vs. dirty
Writing Python code for agent perception
Defining actions: move and clean
Simulating the agent's interaction with the grid
Handling agent movements and cleaning actions
Setting up the grid visualization
Animating the agent's movements and cleaning process
Running the agent in various scenarios
Addressing common issues and troubleshooting
Adding complexity to the agent's decision-making
Exploring potential improvements and optimizations
Recap of key learnings
Suggestions for further study and projects
विषय
Programming