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Original price was: $78.40.$68.65Current price is: $68.65.
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Description
Reinforcement learning is the discipline behind game-playing AI, robotics, and increasingly LLM alignment. This course covers RL fundamentals through modern approaches like PPO and GRPO, culminating in a trained game-solving agent.
What’s Inside:
- The RL Problem Framework
- Markov Decision Processes
- Q-Learning from Scratch
- Deep Q-Networks (DQN)
- Policy Gradient Methods
- Proximal Policy Optimization (PPO)
- Actor-Critic Architectures
- Reward Shaping
- Environment Design
- Multi-Agent RL Intro
- RLHF in Language Models
- Project: Train a Game-Solving Agent
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