Trial and error
Trial and error is an iterative problem-solving or learning process that tests alternatives, observes their outcomes, and uses feedback to guide subsequent actions.
Grokking AI Algorithms, Second Edition
Trial and error is a problem-solving technique that tests alternative attempts and uses their outcomes to identify a successful solution.
- How it is used
- Frames learning and search as repeated attempts guided by observed outcomes.
- How deep it goes
- Defines the technique through behavioral examples and a maze comparison, but stops short of implementing a search algorithm.
- Examples
- Uses chicks identifying food, chimpanzees choosing sticks, dog training, and competing paths through a maze.
- What you can do after
- Evaluate alternative actions by observing rewards, penalties, success, failure, and effort.
Read how Grokking AI Algorithms, Second Edition explains trial and error →
Evolutionary Deep Learning: Genetic algorithms and neural networks
Trial-and-error learning is a strategy that discovers effective actions by repeatedly testing alternatives and retaining those that produce favorable outcomes.
- How it is used
- Uses repeated environment interaction to solve reinforcement-learning problems when correct actions are discovered through rewards.
- How deep it goes
- Explains states, actions, rewards, exploration, Q-values, and training loops, but stops short of advanced planning mechanisms.
- Examples
- Demonstrates a Frozen Lake grid, Q-table, epsilon-greedy action selection, training episodes, and agent exercises.
- What you can do after
- Apply it via OpenAI Gym by building, training, and exercising a Q-learning agent in a discrete environment.
Related concepts
- reinforcement learningused by · Reinforcement learning is a machine-learning paradigm in which an agent learns actions or a policy through interaction with an environment and evaluative feedback, such as rewards.
- model architectureuses · The structural organization of a computational system’s components, relationships, and operations that determines how it processes information or behaves.
- natural selectionused by · Natural selection is the evolutionary process by which heritable traits affecting survival or reproduction influence which variants become more common in a population.
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