reinforcement learning
type of machine learning where an agent learns how to behave in an environment by performing actions and receiving rewards or penalties in return, aiming to maximize the cumulative reward over time
reinforcement learning from human feedback
variant of reinforcement learning
Domain Adaptation
field associated with machine learning and transfer learning
end-to-end reinforcement learning
paradigm in machine learning where the entire process from input to output is learned through a single, integrated neural network or a series of interconnected models, in contrast to having independent subsystems
Multi-agent reinforcement learning
sub-field of reinforcement learning
model-free reinforcement learning
type of machine learning algorithm
deep reinforcement learning
techniques combining deep learning and reinforcement learning principles to create efficient machine learning algorithms
policy-gradient method
class of reinforcement learning algorithms