Unverified50% confidenceFactExact time
This non-stationarity does not come from the environment itself, but is mediated by interactions among agents.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
The Challenge of Interaction-Mediated Nonstationarity in Multi-Agent Reinforcement Learning
redditr/deeplearning10/18/2026
Related Entities
Related Claims
UnverifiedIn independent learning, each agent treats other agents as part of the environment, causing the environment to exhibit non-stationarity.76% similarUnverifiedThe ledger approach assumes the agent has a non-interactive entry point, which not every agent cleanly exposes.74% similarUnverifiedLeveraging mutual oversight among agents may construct a self-correcting system, serving as an endogenous constraint mechanism.74% similarUnverifiedHuman intelligence itself developed through long-term interaction with reality, and intelligence and contact with reality are not variables that can be completely separated.73% similarVerifiedEmbodied intelligence emphasizes that an agent must develop cognitive capabilities through real interaction with the physical environment, rather than relying solely on offline data training.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1062091API
curl https://kongchang.com/api/v1/knowledge/claims/1062091MCP
get_claim(id=1062091)