Monte Carlo - Revision history

BPeat at 18:11, 19 March 2023

2023-03-19T18:11:16Z

2020-10-12T13:22:30Z

2020-08-17T18:00:49Z

2020-07-06T11:23:23Z

2020-07-06T11:05:57Z

2020-07-03T16:46:24Z

2020-07-03T16:42:49Z

2019-09-02T01:57:18Z

2019-09-02T01:55:44Z

‎Monte Carlo Tree Search (MCTS)

2019-09-02T01:54:42Z

‎Monte Carlo Tree Search

← Older revision		Revision as of 18:11, 19 March 2023
Line 1:		Line 1:
−	[~~http~~://www.youtube.com/results?search_query=monte+carlo+~~artificial~~+~~intelligence~~+~~deep~~+~~learning~~+~~~models~~+~~~algorithms YouTube search~~...]	+	{{#seo:
		+	\|title=PRIMO.ai
		+	\|titlemode=append
		+	\|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, TensorFlow, Google, Meta, Facebook, Nvidia, Microsoft, Azure, Amazon, AWS
		+	\|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
		+	}}
		+	[https://www.youtube.com/results?search_query=ai+monte+carlo YouTube]
		+	[https://www.quora.com/search?q=ai%20monte%20carlo ... Quora]
		+	[https://www.google.com/search?q=ai+monte+carlo ...Google search]
		+	[https://news.google.com/search?q=ai+monte+carlo ...Google News]
		+	[https://www.bing.com/news/search?q=ai+monte+carlo&qft=interval%3d%228%22 ...Bing News]
		+

	* [http://medium.com/deep-math-machine-learning-ai/ch-12-1-model-free-reinforcement-learning-algorithms-monte-carlo-sarsa-q-learning-65267cb8d1b4 Model Free Reinforcement learning algorithms (Monte Carlo, SARSA, Q-learning) \| Madhu Sanjeevi (Mady) - Medium]		* [http://medium.com/deep-math-machine-learning-ai/ch-12-1-model-free-reinforcement-learning-algorithms-monte-carlo-sarsa-q-learning-65267cb8d1b4 Model Free Reinforcement learning algorithms (Monte Carlo, SARSA, Q-learning) \| Madhu Sanjeevi (Mady) - Medium]

@@ Line 5: / Line 5: @@
 * [http://modelai.gettysburg.edu/2014/mc1/index.html An Introduction to Monte Carlo Techniques in Artificial Intelligence | Todd W. Neller]
 * [[Cross-Validation]]
 * [[Reinforcement Learning (RL)]]
 ** Monte Carlo (MC) Method - Model Free Reinforcement Learning

@@ Line 4: / Line 4: @@
 * [[Google DeepMind AlphaGo Zero]]
 * [http://modelai.gettysburg.edu/2014/mc1/index.html An Introduction to Monte Carlo Techniques in Artificial Intelligence | Todd W. Neller]
+* [[Cross-Validation]]
 * [[Reinforcement Learning (RL)]]
 ** Monte Carlo (MC) Method - Model Free Reinforcement Learning

@@ Line 4: / Line 4: @@
 * [[Google DeepMind AlphaGo Zero]]
 * [http://modelai.gettysburg.edu/2014/mc1/index.html An Introduction to Monte Carlo Techniques in Artificial Intelligence | Todd W. Neller]
 * [[Reinforcement Learning (RL)]]
 ** Monte Carlo (MC) Method - Model Free Reinforcement Learning
@@ Line 14: / Line 15: @@
 ** [[Evolutionary Computation / Genetic Algorithms]]
 ** [[Actor Critic]]
 *** [[Advanced Actor Critic (A2C)]]
 *** [[Lifelong Latent Actor-Critic (LILAC)]]
 ** [[Hierarchical Reinforcement Learning (HRL)]]

@@ Line 7: / Line 7: @@
 ** Monte Carlo (MC) Method - Model Free Reinforcement Learning
 ** [[Markov Decision Process (MDP)]]
 ** [[Q Learning]]
-** [[State-Action-Reward-State-Action (SARSA)]]
+*** [[Deep Q Network (DQN)]]
 ** [[Deep Reinforcement Learning (DRL)]] DeepRL
 ** [[Distributed Deep Reinforcement Learning (DDRL)]]
 ** [[Evolutionary Computation / Genetic Algorithms]]
 ** [[Actor Critic]]

@@ Line 17: / Line 17: @@
 A broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. Their essential idea is using randomness to solve problems that might be deterministic in principle. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches. Monte Carlo methods are mainly used in three problem classes:[1] optimization, numerical integration, and generating draws from a probability distribution.
 <youtube>-YpalutQCKw</youtube>
@@ Line 46: / Line 44: @@
 <youtube>3gcLRU24-w0</youtube>
 <youtube>Nd3m9mY9rXo</youtube>

@@ Line 30: / Line 30: @@
 [http://www.google.com/search?q=Monte+Carlo+Tree+Search+Artificial ...Google search]
-* [https://en.wikipedia.org/wiki/Monte_Carlo_tree_search Monte Carlo Tree Search (MCTS) | Wikipedia]
+* [http://en.wikipedia.org/wiki/Monte_Carlo_tree_search Monte Carlo Tree Search (MCTS) | Wikipedia]
 * [[Markov Decision Process (MDP)]]

@@ Line 26: / Line 26: @@
-== <span id="Monte Carlo Tree Search"></span>Monte Carlo Tree Search ==
+== <span id="Monte Carlo Tree Search (MCTS)"></span>Monte Carlo Tree Search (MCTS) ==
 [http://www.youtube.com/results?search_query=Monte+Carlo+Tree+Search+Artificial Youtube search...]
 [http://www.google.com/search?q=Monte+Carlo+Tree+Search+Artificial ...Google search]