From 13b5e578cf35f8412255206f9872ff7bf83dbafe Mon Sep 17 00:00:00 2001
From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
Date: Mon, 19 Feb 2024 11:44:40 -0800
Subject: [PATCH] Update readme

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 README.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/README.md b/README.md
index 1a9be5d3c..e210902d2 100644
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@@ -484,6 +484,15 @@ The following notebooks implement agent architectures prototypical of the "plan-
 - [LLMCompiler](https://github.com/langchain-ai/langgraph/blob/main/examples/llm-compiler/LLMCompiler.ipynb): planner generates a **DAG** of tasks with variable responses. Tasks are **streamed** and executed eagerly to minimize tool execution runtime. Based on the [paper](https://arxiv.org/abs/2312.04511) by Kim, et. al.
 
 
+### Reflection / Self-Critique
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+When output quality is a major concern, it's common to incorporate some combination of self-critique or reflection and external validation to refine your system's outputs. The following examples demonstrate research that implement this type of design.
+
+- [Reflexion](./examples/reflexion/reflexion.ipynb): critique missing and superflous aspects of the agent's response to guide subsequent steps. Based on [Reflexion](https://arxiv.org/abs/2303.11366), by Shinn, et. al.
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 ### Multi-agent Examples
 
 - [Multi-agent collaboration](https://github.com/langchain-ai/langgraph/blob/main/examples/multi_agent/multi-agent-collaboration.ipynb): how to create two agents that work together to accomplish a task