Difference between revisions of "Proximal Policy Optimization (PPO)"
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*** [[Lifelong Latent Actor-Critic (LILAC)]] | *** [[Lifelong Latent Actor-Critic (LILAC)]] | ||
** [[Hierarchical Reinforcement Learning (HRL)]] | ** [[Hierarchical Reinforcement Learning (HRL)]] | ||
| − | * [[ChatGPT]] | + | * [https://www.technologyreview.com/2023/02/08/1068068/chatgpt-is-everywhere-heres-where-it-came-from/ ChatGPT is everywhere. Here’s where it came from | Will Douglas Heaven - MIT Technology Review] |
| + | ** [[Sequence to Sequence (Seq2Seq)]] | ||
| + | ** [[Recurrent Neural Network (RNN)]] | ||
| + | ** [[Long Short-Term Memory (LSTM)]] | ||
| + | ** [[Bidirectional Encoder Representations from Transformers (BERT)]] ... a better model, but less investment than the larger [[OpenAI]] organization | ||
| + | ** [[ChatGPT]] | [[OpenAI]]: | ||
| + | *** [[Transformer]] / [[Attention]] Mechanism | ||
| + | *** [[Generative Pre-trained Transformer (GPT)]] | ||
| + | *** [[Reinforcement Learning (RL) from Human Feedback (RLHF)]] | ||
| + | *** [[Supervised]] Learning | ||
| + | *** [[Proximal Policy Optimization (PPO)]]] | ||
Revision as of 01:46, 12 February 2023
Youtube search... ...Google search
- Deep Reinforcement Learning (DRL)
- Policy Gradient (PG)
- Reinforcement Learning (RL):
- Monte Carlo (MC) Method - Model Free Reinforcement Learning
- Markov Decision Process (MDP)
- Q Learning
- State-Action-Reward-State-Action (SARSA)
- Deep Reinforcement Learning (DRL) DeepRL
- Distributed Deep Reinforcement Learning (DDRL)
- Deep Q Network (DQN)
- Evolutionary Computation / Genetic Algorithms
- Actor Critic
- Hierarchical Reinforcement Learning (HRL)
- ChatGPT is everywhere. Here’s where it came from | Will Douglas Heaven - MIT Technology Review
- Sequence to Sequence (Seq2Seq)
- Recurrent Neural Network (RNN)
- Long Short-Term Memory (LSTM)
- Bidirectional Encoder Representations from Transformers (BERT) ... a better model, but less investment than the larger OpenAI organization
- ChatGPT | OpenAI: