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This lecture from Montreal Robotics explores the design and tooling requirements for autonomous learning agents to achieve effective interaction levels, connecting autonomous systems with recent agentic model concepts. Discover how these systems are fundamental to reinforcement learning from real-world interactions in this 20-minute presentation that continues the exploration of robot learning principles.
