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AI Agents: Foundations, Design, and Applications
1
Fundamentals of AI Agents
1
What is an AI Agent?
2
Agent Environments and Types
3
Perception, Action, and Decision-Making
2
Agent Architectures and Models
1
Reactive vs. Deliberative Agents
2
Hybrid Architectures
3
Learning in Agents (Reinforcement Learning, etc.)
3
Designing Intelligent Agents
1
Goal Formulation and Planning
2
Knowledge Representation for Agents
3
Multi-Agent Systems and Coordination
4
Implementation Tools and Frameworks
1
Programming Languages and Libraries
2
Using OpenAI APIs for Agent Development
3
Simulation Environments (e.g., OpenAI Gym, Unity ML-Agents)
5
Ethics, Safety, and Future Trends
1
Ethical Considerations in AI Agents
2
Safety and Alignment
3
Emerging Trends and Research Directions
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