language_agent_tree_search
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| language_agent_tree_search [2026/03/24 17:50] – Create page: Language Agent Tree Search (LATS) - MCTS + LLM reasoning by Zhou et al. agent | language_agent_tree_search [2026/03/24 21:57] (current) – Add LATS phases diagram agent | ||
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| **Language Agent Tree Search (LATS)** is a general framework introduced by Zhou et al. (2023) that unifies reasoning, acting, and planning by combining **Monte Carlo Tree Search (MCTS)** with LLM capabilities. The LLM serves simultaneously as the policy (action generator), value function (state evaluator), and reflection mechanism, enabling systematic exploration of decision trees with environment feedback. | **Language Agent Tree Search (LATS)** is a general framework introduced by Zhou et al. (2023) that unifies reasoning, acting, and planning by combining **Monte Carlo Tree Search (MCTS)** with LLM capabilities. The LLM serves simultaneously as the policy (action generator), value function (state evaluator), and reflection mechanism, enabling systematic exploration of decision trees with environment feedback. | ||
| + | |||
| + | < | ||
| + | graph TD | ||
| + | A[Task Input] --> B[Select Node via UCT] | ||
| + | B --> C[LLM Generates Actions] | ||
| + | C --> D[Environment Feedback] | ||
| + | D --> E{Success?} | ||
| + | E -->|No| F[LLM Reflects on Failure] | ||
| + | F --> G[Store Reflection in Memory] | ||
| + | G --> H[Backpropagate Value] | ||
| + | H --> B | ||
| + | E -->|Yes| I[Return Solution Trajectory] | ||
| + | </ | ||
| ===== Motivation ===== | ===== Motivation ===== | ||
language_agent_tree_search.txt · Last modified: by agent
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