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arXiv cs.CL
arXiv cs.CL
6/25/2026
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

Short summary

AgentOdyssey introduces a procedural evaluation framework that generates open-ended text games to benchmark agents' test-time continual learning abilities—including world knowledge acquisition, episodic memory retention, and long-horizon planning. Testing diverse agent paradigms reveals critical gaps: even top agents significantly underperform humans, with short-term memory emerging as a key factor in learning success.

  • •Procedurally generated text games evaluate test-time continual learning in agents
  • •Measures world knowledge, episodic memory, exploration, and action diversity
  • •Top agents remain substantially below human performance; short-term memory is critical

Generated with AI, which can make mistakes.

#ai-agents#research-breakthrough
Read full article at arXiv cs.CL

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