Go-Explore's archive-then-return exploration strategy gives a concrete method for agents stuck in sparse-reward, hard-exploration settings: remember promising states, return to them, then explore further rather than restarting blind.

• articlePyro
• articlePoet Open Ended Deep Learning
• articleOpen Source And In House How Uber Optimizes Llm Training
• articleUbers Journey To Ray On Kubernetes Resource Management

• articleExploration Strategies in Deep Reinforcement LearningLilian Weng
• articleAgents Explore But Agents Ignore Llms Lack Environmental Curiosity 2026 04 19Cohere
• clipUse the engine for planning and review, not executionAI Engineer

Checking sign-in…

Loading comments…