SOLVED: In Reinforcement Learning with Human Feedback which algorithmic approach is mos ...

In Reinforcement Learning with Human Feedback which algorithmic approach is most frequently employed to fine-tune the policy based on the learned reward model derived from human feedback?

Q-learning

Deep Deterministic Policy Gradient (DDPG)

Proximal Policy Optimization (PPO)

Monte Carlo Tree Search (MCTS)

Verified Answer

Correct Option - c

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