Reinforcement Learning Fundamentals Explained
20 Mar 2025
7 min read
On this page
- What is Reinforcement Learning?
- Key Concepts in Reinforcement Learning
- Agent
- Environment
- State
- Action
- Reward
- Policy
- The Reinforcement Learning Cycle
- Types of Reinforcement Learning Algorithms
- Value-Based Methods
- Policy-Based Methods
- Model-Based Methods
- Applications of Reinforcement Learning
- Game Playing
- Robotics
- Control Systems
- Finance
- Challenges in Reinforcement Learning
- Exploration vs. Exploitation
- Sample Efficiency
- Credit Assignment
- Non-Stationary Environments
- Conclusion
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