#reinforcement-learning
7 articles
- Deep Q-Networks (DQN) Combining Q-learning with deep neural networks for Atari-level game playing
- Maximum Likelihood Reinforcement Learning (MaxRL) A recent idea for training models on pass-fail tasks when sampling matters
- Policy Gradient Methods Directly optimizing policies through gradient ascent on expected returns
- Proximal Policy Optimization (PPO) A stable, sample-efficient policy gradient algorithm for reinforcement learning
- Reinforcement Learning Learning by trial and error through rewards
- RLHF: Reinforcement Learning from Human Feedback Teaching language models to prefer responses that people rank higher
- World of Bits Open-domain platform for web-based reinforcement learning agents