Briefing: Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
Strategic angle: Exploring the challenges of decision structures in reinforcement learning across episodes.
Editorial Staff
1 min read
Updated 4 months ago
Focus on the agent-world boundary in reinforcement learning.
Investigates the survival of decision structures in multi-agent environments.
Highlights the importance of stationary, finite-horizon MDPs.