Roadmap to Sample-Efficient Real-World Reinforcement Learning Workshop (R2RL)

A focused workshop on the bottlenecks, methods, and roadmap for making reinforcement learning practical on real robots. This workshop asks: What problems preclude making RL algorithms sample-efficient enough for real-world deployment and what should we focus on over the next few years to solve them?