Theory
Links to this note:
- Current Learning Objectives
- white2017unifying: Unifying Task Specification in Reinforcement Learning
- vanhasselt2015learning: Learning to Predict Independent of Span
- Value Function
- sutton2011horde: Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction
- sternberg2016cognitive: Cognitive Psychology
- Helmholtz Sign Theory
- roy2018editorial: Editorial: Representation in the Brain
- Representation
- Probability Theory
- Partially Ordered Set
- niv2009reinforcement: Reinforcement learning in the brain
- Morphism
- Model-based RL
- Markov Decisions Process
- liu2018breaking: Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
- KL Divergence
- Isomorphism
- Interview Review Material
- Hierarchical Predictive Coding
- Hermann von Helmholtz
- goodman2016what: What Does Research Reproducibility Mean?
- Duality
- cogprints316: Facing Up to the Problem of Consciousness
- clark2013whatever: Whatever next? Predictive brains, situated agents, and the future of cognitive science
- Calculus
- Bellman Equation
- StudyPlan