Reinforcement learning

Paper2026

Maximum Likelihood Reinforcement Learning (MaxRL)

Tajwar et al.

A recent idea for training models on pass-fail tasks when sampling matters

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Concept2017

Proximal Policy Optimization (PPO)

Schulman et al.

A stable, sample-efficient policy gradient algorithm for reinforcement learning

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Concept2017

RLHF: Reinforcement Learning from Human Feedback

Christiano et al.

Teaching language models to prefer responses that people rank higher

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Paper2013

Deep Q-Networks (DQN)

Mnih et al.

Combining Q-learning with deep neural networks for Atari-level game playing

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Concept1992

Policy Gradient Methods

Williams

Directly optimizing policies through gradient ascent on expected returns

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Concept

Reinforcement Learning

Learning by trial and error through rewards

BookDocsCourse

Paper2017

World of Bits

Shi et al.

Open-domain platform for web-based reinforcement learning agents

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