newsAWS Machine LearningTrust 88 · LabPublished 1mo agoLive · 1mo ago
Best practices for multi-turn reinforcement learning in Amazon SageMaker AI
In this post, we share best practices for reliable multi-turn RL training. We cover how to build a training environment you can trust, set up an external evaluation, design a reward aligned with the end task, manage what changes once the agent runs for multiple turns, and monitor the metrics that tell you when to iterate.
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%aws/sagemaker-python-sdk →
- PossiblePossibly related (embedding) · 49%airbus/scikit-decide →
- PossiblePossibly related (embedding) · 46%hud-evals/hud-python →
- PossiblePossibly related (embedding) · 47%Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents →
- PossiblePossibly related (embedding) · 48%Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning →
- PossiblePossibly related (embedding) · 47%Active Offline-to-Online Reinforcement Learning →
- PossiblePossibly related (embedding) · 46%TorchTrade/torchtrade →
- PossiblePossibly related (embedding) · 54%TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents →
Covers (incoming)
repoaws/sagemaker-python-sdkrepoairbus/scikit-deciderepohud-evals/hud-pythonpaperInformation Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM AgentspaperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningpaperActive Offline-to-Online Reinforcement LearningrepoTorchTrade/torchtradepaperTRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents
Related across the graph
paperInformation Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM AgentspaperActive Offline-to-Online Reinforcement Learningrepoaws/sagemaker-python-sdkpaperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward Learningrepoairbus/scikit-deciderepohud-evals/hud-pythonrepoTorchTrade/torchtradepaperTRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents