Proximal Policy Optimization (PPO)

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• Proximal policy optimization algorithms | J. Schulman, F. Wolski, P. Dhariwal, A. Radford & O. Klimov 2017
• 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
    • Advanced Actor Critic (A2C)
    • Asynchronous Advantage Actor Critic (A3C)
    • Lifelong Latent Actor-Critic (LILAC)
  • Hierarchical Reinforcement Learning (HRL)
• Assistants ... Hybrid Assistants ... Agents ... Negotiation
• Natural Language Processing (NLP) ...Generation ...LLM ...Tools & Services
• Generative AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's BingAI ... You ...Google's Bard
• 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:
    • Attention Mechanism ...Transformer Model ...Generative Pre-trained Transformer (GPT)
    • Reinforcement Learning (RL) from Human Feedback (RLHF)
    • Supervised Learning
    • Proximal Policy Optimization (PPO)