Deep tech Everything you need to know about model-free and model-based reinforcement learning June 24, 2022 - 4:00 pm Reinforcement learning is one of the exciting branches of artificial intelligence.

In a newly published paper, Google AI researchers lay out a reinforcement learning technique that's more efficient than several previous methods.

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Unlike model-free reinforcement learning algorithms that learn through trial and error, this MPC enables agents to avoid unsafe states by using the dynamics model to anticipate actions ...

Model-Free Reinforcement Learning: This approach doesn’t build a model, instead, it directly learns the value of taking actions in different states or learns the best policy for each state.

Future applications of national importance, such as healthcare, critical infrastructure, transportation systems, and smart cities, are expected to increasingly rely on machine-learning methods, ...

The "reward-is-enough" hypothesis suggests that reinforcement learning alone could lead to AGI.

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...