CONTROLLING REAL WORLD OBJECTS WITH FLUID IN RL

Summary from the TLDR AI newsletter

"Box o Flows" introduces a novel experimental system for testing reinforcement learning (RL) algorithms in dynamic real-world settings, addressing the challenge of simulating complex fluid dynamics for RL applications. It showcases the ability of model-free RL algorithms to generate complex behaviors from simple rewards and enhances data efficiency via offline RL and paves the way for broader RL applicability in complex systems.