Reinforcement learning (RL) enables robots to learn skills from interactions with the real world. In practice, the unstructured step-based exploration used in Deep RL -- often very successful in ...

Comparison between clustering-based bonus rewards with novelty alone (η = 1.0) and clustering-based bonus rewards (η = 0.5). Here, the collected states (blue dots) are clustered into 5 clusters and ...

Autonomous navigation is a technology that enables Unmanned Aerial Vehicles (UAVs) to perceive its surroundings using onboard sensors and navigate safely and efficiently from a starting point to a ...

What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...

Humans learn permanently new stuff by exploring things and exploiting the obtained experience. Machines, so-called learning agents, can also learn by reinforcing the execution of actions which have ...

Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. Think of it like training a dog: every time the dog sits on ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...