5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.AI2021★ 4 cited
Representing Knowledge as Predictions (and State as Knowledge)
Mark Ring
This paper shows how a single mechanism allows knowledge to be constructed layer by layer directly from an agent's raw sensorimotor stream. This mechanism, the General Value Functi…
cs.LG2011★ 5 cited
T-Learning
Vincent Graziano, Faustino Gomez, Mark Ring +1
Traditional Reinforcement Learning (RL) has focused on problems involving many states and few actions, such as simple grid worlds. Most real world problems, however, are of the opp…