Policy learning is the increased understanding that occurs when policymakers compare one set of policy problems to others within their own or in other...
12 KB (1,442 words) - 18:41, 6 January 2024
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Q-learning at its simplest...
64 KB (7,464 words) - 19:19, 29 October 2024
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem...
27 KB (2,926 words) - 13:36, 28 June 2024
requiring adaptations. For any finite Markov decision process, Q-learning finds an optimal policy in the sense of maximizing the expected value of the total...
29 KB (3,785 words) - 13:51, 30 July 2024
reinforcement learning. In classical reinforcement learning, an intelligent agent's goal is to learn a function that guides its behavior, called a policy. This...
43 KB (4,947 words) - 04:16, 28 October 2024
Proximal policy optimization (PPO) is a reinforcement learning algorithm for training an intelligent agent's decision function to accomplish difficult...
15 KB (2,064 words) - 15:36, 20 October 2024
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...
134 KB (14,771 words) - 15:59, 26 October 2024
MC learning algorithm is essentially an important branch of generalized policy iteration, which has two periodically alternating steps, i.e., policy evaluation...
7 KB (656 words) - 09:02, 20 December 2023
controversial, the policy called for the use and learning of Hindi to be encouraged uniformly to promote a common language for all Indians. The policy also encouraged...
16 KB (1,635 words) - 02:09, 27 October 2024
Diffusion of innovations (redirect from Policy diffusion processes)
1177/0002716204272652. S2CID 154759501. Meseguer, Covadonga (2005). "Policy Learning, Policy Diffusion, and the Making of a New Order". The Annals of the American...
65 KB (7,140 words) - 14:09, 8 July 2024
incremental learning policies in the field of online machine learning. Using active learning allows for faster development of a machine learning algorithm...
19 KB (2,361 words) - 13:58, 14 October 2024
Markov decision process (redirect from Policy iteration)
the latter one is more used in Learning Theory. A policy that maximizes the function above is called an optimal policy and is usually denoted π ∗ {\displaystyle...
34 KB (5,086 words) - 08:58, 14 October 2024
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...
52 KB (6,574 words) - 09:39, 19 October 2024
system of India. The new policy replaces the previous National Policy on Education, 1986. Shortly after the release of the policy, the government clarified...
67 KB (5,819 words) - 08:35, 30 October 2024
researchers have expanded their focus to include informal learning environments, instructional methods, policy innovations, and the design of curricula. As an emerging...
11 KB (1,418 words) - 22:28, 22 September 2024
state of the MDP. A positive learning rate α {\displaystyle \alpha } is chosen. We then repeatedly evaluate the policy π {\displaystyle \pi } , obtain...
12 KB (1,565 words) - 20:36, 20 October 2024
Distance education (redirect from Distance learning)
(distributed learning, e-learning, m-learning, online learning, virtual classroom, etc.) are used roughly synonymously with distance education. E-learning has...
88 KB (9,981 words) - 18:44, 14 October 2024
non-formal learning contexts with a lifelong learning approach, and to ensure that data are collected on the most excluded. Education policy in Brazil...
18 KB (2,066 words) - 17:11, 14 September 2024
Diffusion model (redirect from Diffusion model (machine learning))
In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative...
83 KB (14,016 words) - 04:15, 15 October 2024
policy to allow authors to self-archive their papers online after peer-review. J.R. Quinlan (1986). "Induction of Decision Trees". Machine Learning....
6 KB (503 words) - 12:18, 12 September 2024
(BC) is the most basic form of imitation learning. Essentially, it uses supervised learning to train a policy π θ {\displaystyle \pi _{\theta }} such that...
12 KB (1,285 words) - 21:34, 22 October 2024
Learning disability, learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending or...
92 KB (10,675 words) - 05:46, 19 October 2024
Minerva: A Review of Science, Learning and Policy is a quarterly peer-reviewed academic journal covering the sociological study of scientific knowledge...
3 KB (167 words) - 22:40, 29 April 2023
Distributional Soft Actor Critic (category Reinforcement learning)
suite of model-free off-policy reinforcement learning algorithms, tailored for learning decision-making or control policies in complex systems with continuous...
3 KB (321 words) - 03:14, 1 January 2024
developed policies for life-long learning which focus strongly on the need to identify, assess and certify non-formal and informal learning, particularly...
32 KB (3,708 words) - 04:20, 17 October 2024
Blended learning or hybrid learning, also known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an approach...
36 KB (4,139 words) - 10:31, 25 October 2024
transparency, and accountability; policy with clear objectives, evaluation techniques, and exit strategies; policy learning and policy experimentation; green rent...
36 KB (4,445 words) - 00:15, 21 August 2024
State–action–reward–state–action (category Machine learning algorithms)
(SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was proposed by Rummery...
6 KB (716 words) - 04:23, 9 October 2024
Educational technology (redirect from E-learning)
encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile technologies are used. The...
188 KB (20,410 words) - 15:30, 30 October 2024
Lifelong learning is the "ongoing, voluntary, and self-motivated" pursuit of learning for either personal or professional reasons. Lifelong learning is important...
22 KB (2,657 words) - 12:55, 21 September 2024