Landmark learning: An illustration of associative search
By Andrew Barto, Richard S. Sutton. 1981
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Thomas Unterthiner
- Michael Widrich
- José Antonio Arjona-Medina
- J. Urgen Schmidhuber
- Wojciech Samek
- Michael Gillhofer
- Yoshua Bengio
- Sepp Hochreiter
Citations in the corpus
- RUDDER: Return Decomposition for Delayed Rewards (2018, background): “g), A a0(:) = P a0ˇ(a 0js t+1)(:) (expected SARSA), A a0(:) sample a0from ˇ(a0js t+1) (SARSA). The next theorem states that TD has an exponential decay for Q-value updates even for eligibility traces [56,6,106,99]. Theorem 2. For initialization q0(s t;a t) = 0 and delayed reward with r t = 0 for t 6”