Skip to content

docs: add authoritative further reading #151

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
adity982 wants to merge 1 commit into
base: main
Choose a base branch
from
Draft

docs: add authoritative further reading #151

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 18 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -151,6 +151,24 @@ Optional extensions to deterministic flows (e.g., ChainWeaver) or governance lay
See [`docs/non-goals.md`](docs/non-goals.md) for scope boundaries that keep the
lab focused on offline routing evaluation rather than live runtime ownership.

## Further reading

These primary sources provide background for the patterns used or discussed in the
lab. Inclusion does not imply that this repository implements or validates every
method or framework below, and results from its synthetic offline data do not
establish production safety or governance.

- [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629)
— the reasoning-and-action pattern behind many tool-using agents.
- [Model Context Protocol specification](https://modelcontextprotocol.io/specification/2025-06-18)
— the protocol contract for exposing tools, resources, and prompts to agents.
- [Doubly Robust Off-policy Value Evaluation for Reinforcement Learning](https://proceedings.mlr.press/v48/jiang16.html)
— a foundational reference for doubly robust off-policy evaluation.
- [Effective context engineering for AI agents](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents)
— practical guidance on selecting and maintaining useful agent context.
- [NIST AI Risk Management Framework 1.0](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10)
— a voluntary framework for incorporating trustworthiness into AI risk management.

## Keywords

Agent evaluation · offline evaluation · off-policy evaluation · counterfactual
Expand Down