Difference between revisions of "State-Action-Reward-State-Action (SARSA)"
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| − | [http://www.youtube.com/results?search_query=Creating+State-Action-Reward-State-Action+ | + | {{#seo: |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [http://www.youtube.com/results?search_query=Creating+State-Action-Reward-State-Action+SARSA Youtube search...] | ||
| + | [http://www.google.com/search?q=Creating+State-Action-Reward-State-Action+SARSA+machine+learning+ML+artificial+intelligence ...Google search] | ||
* [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] | ||
| − | * [[Deep Reinforcement Learning (DRL)]] | + | |
| + | * [[Reinforcement Learning (RL)]] | ||
| + | ** [[Monte Carlo]] (MC) Method - Model Free Reinforcement Learning | ||
| + | ** [[Markov Decision Process (MDP)]] | ||
| + | ** State-Action-Reward-State-Action (SARSA) | ||
| + | ** [[Q Learning]] | ||
| + | *** [[Deep Q Network (DQN)]] | ||
| + | ** [[Deep Reinforcement Learning (DRL)]] DeepRL | ||
| + | ** [[Distributed Deep Reinforcement Learning (DDRL)]] | ||
| + | ** [[Evolutionary Computation / Genetic Algorithms]] | ||
| + | ** [[Actor Critic]] | ||
| + | *** [[Asynchronous Advantage Actor Critic (A3C)]] | ||
| + | *** [[Advanced Actor Critic (A2C)]] | ||
| + | *** [[Lifelong Latent Actor-Critic (LILAC)]] | ||
| + | ** [[Hierarchical Reinforcement Learning (HRL)]] | ||
| + | |||
| + | |||
<youtube>k6ZojZb7wP4</youtube> | <youtube>k6ZojZb7wP4</youtube> | ||
Latest revision as of 07:21, 6 July 2020
Youtube search... ...Google search
- Reinforcement Learning (RL)
- Monte Carlo (MC) Method - Model Free Reinforcement Learning
- Markov Decision Process (MDP)
- State-Action-Reward-State-Action (SARSA)
- Q Learning
- Deep Reinforcement Learning (DRL) DeepRL
- Distributed Deep Reinforcement Learning (DDRL)
- Evolutionary Computation / Genetic Algorithms
- Actor Critic
- Hierarchical Reinforcement Learning (HRL)
