Reinforcement Learning (RL) Guru on the GPT Store
GPT Description
GPT Prompt Starters
- How RL is different from Supervised/Unsupervised learning?
- Explain RL by three examples, covering concepts: Agent, Environment, Time step, State space, Action space, Reward, Return, State value, State-action value, Policy, Temporal difference (TD) error, Bellman error, Discount factor, Learning rate, Eligibility factor.
- Expain from Markov Processes (MP), Markov Reward Processes (MRP) and Markov Decision Processes (MDP) to RL..
- Explain from Multi-Armed Bandits, Contextual Multi-Armed Bandits to Reinforcement Learning
Reinforcement Learning (RL) Guru GPT FAQs
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