Alignment and Reasoning with Transformers
A review of DPO, PPO, and GRPO for aligning transformers to reason and act responsibly.
Chapter 43: Direct Preference Optimization (DPO) Problem Definition: Aligning agents with preferences Approach: Optimizing policies directly from human feedback Applications: LLM alignment, robotic control References Chapter 44: Proximal Policy Optimization for Alignment (PPO) Problem Definition: Stable policy optimization for alignment Approach: Clipped objectives, transformer-based PPO Applications: RLHF, reasoning in LLMs Cross-reference: Chapters 14, 41 References Chapter 45: Group Relative Policy Optimization (GRPO) Problem Definition: Generalizing reward modeling Approach: Combining preferences with transformer reasoning Applications: Multi-objective alignment, complex tasks References Chapter 46: Transformer-Based Reasoning in RL Problem Definition: Enhancing reasoning with transformers Approach: Attention for planning, commonsense reasoning Applications: Game AI, autonomous systems, LLMs References