Volodymyr Mnih
(3 articles)
1952
RL
Reinforcement Learning
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
2013
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
2015
DQN
Deep Q-Networks
Deep Q-Networks
RL technique that combines Q-learning with deep neural networks to enable agents to learn how to make optimal decisions from high-dimensional sensory inputs.
Generality: 853