Satinder Singh
(5 articles)
Temporal Difference Learning
A method in reinforcement learning that updates predictions based on the difference between successive predictions, rather than solely relying on final outcome errors.
Generality: 775
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
Policy Gradient Algorithm
Type of RL algorithm that optimizes the policy directly by computing gradients of expected rewards with respect to policy parameters.
Generality: 805
DRL
Deep Reinforcement Learning
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
Precomputed Policy
A strategy computed in advance for decision-making processes in AI systems, particularly within reinforcement learning, to optimize future actions.
Generality: 550