Q-learning

Concept

A traditional reinforcement learning algorithm that the paper shifts away from by using a different objective.

Mentioned in 4 videos

Videos Mentioning Q-learning

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Latent Space

A traditional reinforcement learning algorithm that the paper shifts away from by using a different objective.

Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144

Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144

Lex Fridman

An off-policy reinforcement learning algorithm that learns the value of actions in specific states, allowing agents to learn optimal behavior regardless of the policy being followed.

MIT 6.S094: Deep Reinforcement Learning

MIT 6.S094: Deep Reinforcement Learning

Lex Fridman

A model-free reinforcement learning algorithm that aims to find the optimal action-selection policy for an agent by learning the value of actions in given states.

MIT 6.S094: Deep Reinforcement Learning for Motion Planning

MIT 6.S094: Deep Reinforcement Learning for Motion Planning

Lex Fridman

An off-policy reinforcement learning algorithm that learns to approximate an optimal policy by estimating the Q-value (quality) of state-action pairs through experience.