DeepMind Researcher Publishes Definitive RL Overview Bridging Classical Methods and LLM Era
Kevin Murphy of Google DeepMind has released what multiple researchers are calling the most comprehensive reinforcement learning overview available, including chapters on RLHF and LLM alignment.
Kevin Murphy from Google DeepMind has published what @_avichawla described as "the most comprehensive RL overview" available, covering everything from classical bandits and MDPs through to RLHF, PPO variants, world models, and multi-agent RL. The resource went viral among ML practitioners, and for good reason: RL is increasingly the secret ingredient behind frontier model capabilities, yet most practitioners' understanding remains superficial.
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