Andrew Barto

(5 articles)
RL (Reinforcement Learning)
1952

RL
Reinforcement Learning

Type of ML where an agent learns to make decisions by performing actions in an environment to achieve a goal, guided by rewards.

Generality: 890

State Representation
1986

State Representation

The method by which an AI system formulates a concise and informative description of the environment's current situation or context.

Generality: 682

Prediction Error
1986

Prediction Error

The discrepancy between predicted outcomes by an AI model and the actual observed results in a dataset.

Generality: 675

Policy Learning
1992

Policy Learning

Branch of reinforcement learning where the objective is to find an optimal policy that dictates the best action to take in various states to maximize cumulative reward.

Generality: 790

DRL (Deep Reinforcement Learning)
2013

DRL
Deep Reinforcement Learning

Combines neural networks with a reinforcement learning framework, enabling AI systems to learn optimal actions through trial and error to maximize a cumulative reward.

Generality: 855