q-learning
5 episodes mention this concept
lexfridmanApr 25, 2018Ilya Sutskever on Deep Learning Foundations, Meta-Learning, and Self-Play for AGI
TechnologyDeep Learning PrinciplesGeneralization Theory (shortest program)Computational Intractability (program search)Backpropagation (circuit search)- lexfridmanJan 25, 2018
Deep Reinforcement Learning: From Raw Data to Reasoning and Real-World Action
TechnologyDeep Reinforcement Learning (DRL)Artificial Intelligence (AI) stackEnd-to-end learningSupervised Learning - lexfridmanSep 27, 2016
Deep Reinforcement Learning: Core Methods, Applications, and Policy Gradients
TechnologyDeep Reinforcement Learning (DRL)Reinforcement Learning (RL)Neural NetworksFunction Approximators - lexfridman
MIT 6.S091 Introduction to Deep Reinforcement Learning: Fundamentals, Challenges, and Applications
TechnologyDeep Reinforcement Learning (Deep RL)Deep Neural NetworksSequential DecisionsTrial and Error - lexfridman
Deep Reinforcement Learning Fundamentals: From Perceptrons to Q-Learning for Motion Planning
TechnologyDeep Reinforcement Learning (DRL)Supervised LearningUnsupervised LearningSemi-supervised Learning
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Related concepts
Concepts that appear alongside q-learning across episodes.
- supervised learning
- unsupervised learning
- deep reinforcement learning (drl)
- value function
- neural networks
- markov decision process (mdp)
- policy
- bellman equation
- reinforcement learning (rl)
- monte carlo tree search (mcts)
- trial and error
- value functions
- feature engineering
- computational complexity
- exploration vs. exploitation
- agent-environment interaction
- artificial intelligence (ai) stack
- sparse reward data
- action space
- ai safety