Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...
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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
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 ...
A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback