value-based reinforcement learning method

C9067

concept

A value-based reinforcement learning method is an approach that learns a value function estimating expected future rewards for states or state-action pairs and derives a policy by selecting actions that maximize these estimated values.

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All labels observed (15)

Label	Occurrences
reinforcement learning technique	7
value-based reinforcement learning method canonical	5
Deep Q-Network variant	2
DQN extension	1
Deep Q-Learning variant	1
Q-learning variant	1
batch reinforcement learning method	1
goal-conditioned value function model	1
model-free algorithm	1
off-policy algorithm	1
off-policy learning algorithm	1
off-policy value-based method	1
temporal-difference learning algorithm	1
temporal-difference learning method	1
value function learning method	1

Description generation (CDg)

The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.

Instruction

generate a one-sentence description for a given conceptual class.
# Response Format
Return only the sentence: "Description: [one-sentence description of the conceptional class]"

Input

Class: value-based reinforcement learning method

Generated description

A value-based reinforcement learning method is an approach that learns a value function estimating expected future rewards for states or state-action pairs and derives a policy by selecting actions that maximize these estimated values.

Instances (16)

Instance	Via concept surface
Double DQN	—
Generalized Advantage Estimation	reinforcement learning technique
Rainbow DQN	—
Atari deep Q-network	—
Hindsight Experience Replay linked to: HER	reinforcement learning technique
Hindsight Experience Replay linked to: Rachel Fong	reinforcement learning technique
Universal Value Function Approximators	goal-conditioned value function model
Hindsight Experience Replay linked to: Jonas Schneider	reinforcement learning technique
Deep Q-Learning	—
Q-learning	temporal-difference learning method
Hindsight Experience Replay linked to: Josh Tobin	reinforcement learning technique
TD(λ) linked to: TD(lambda)	temporal-difference learning algorithm
Neural Fitted Q-Iteration linked to: neural fitted Q-iteration (NFQ)	off-policy value-based method
Dueling DQN	—
Prioritized Experience Replay DQN	Deep Q-Network variant
Hindsight Experience Replay	reinforcement learning technique