Difference between revisions of "Policy"

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* [https://arxiv.org/abs/1707.06347 Proximal policy optimization algorithms | J. Schulman, F. Wolski, P. Dhariwal, A. Radford & O. Klimov  2017]
 
 
* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
 
* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
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* [[Deep Reinforcement Learning (DRL)]]
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* [[Policy vs Plan]]
 
* [[Policy Gradient (PG)]]
 
* [[Policy Gradient (PG)]]
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* [[Reinforcement Learning (RL)]]:
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* [[Trust Region Policy Optimization (TRPO)]]
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** [[Monte Carlo]] (MC) Method - Model Free Reinforcement Learning
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* [[Proximal Policy Optimization (PPO)]]
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** [[Markov Decision Process (MDP)]]
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* [[Privacy]] ... [[Privacy policy]]
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** [[Q Learning]]
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* [[Apprenticeship Learning - Inverse Reinforcement Learning (IRL)]]
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** [[State-Action-Reward-State-Action (SARSA)]]
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* [[Government Services]]
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** [[Deep Reinforcement Learning (DRL)]] DeepRL
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* [[Gaming]]
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** [[Distributed Deep Reinforcement Learning (DDRL)]]
 
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** [[Deep Q Network (DQN)]]
 
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** [[Evolutionary Computation / Genetic Algorithms]]
 
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** [[Actor Critic]]
 
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*** [[Advanced Actor Critic (A2C)]]
 
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*** [[Asynchronous Advantage Actor Critic (A3C)]]
 
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*** [[Lifelong Latent Actor-Critic (LILAC)]]
 
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** [[Hierarchical Reinforcement Learning (HRL)]]
 
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* [[Assistants]] ... [[Hybrid Assistants]]  ... [[Agents]]  ... [[Negotiation]] ... [[LangChain]]
 
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* [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]]  ...[[Large Language Model (LLM)|LLM]]  ...[[Natural Language Tools & Services|Tools & Services]]
 
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<youtube>PO8-fegV4X0</youtube>
 
<youtube>PO8-fegV4X0</youtube>

Revision as of 10:43, 26 March 2023

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