Reinforcement Learning

Definition of Reinforcement Learning as it relates to Science, Space Science, Artificial Intelligence

Reinforcement Learning is a branch of Artificial Intelligence that focuses on training agents to make decisions by taking actions in an environment to achieve a goal. The agent learns from reward feedback, where it receives a positive reinforcement for good decisions and negative reinforcement for poor ones. This iterative process enables the agent to improve its decision-making skills over time. Reinforcement Learning has applications in various fields such as robotics, gaming, resource management, and navigation. In the context of Science and Space Science, it can be used to optimize satellite trajectories, spacecraft control systems, and even in designing autonomous interplanetary missions.

Note
  • [ReinforcementLearning.org] Machine Intelligence | Personal site of Cosmo Harrigan.
  • [mlrl.org] Machine Learning Reinforcement Learning – Teaching material
  • [rldm.org] RLDM | The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
  • [rlai.net] Reinforcement Learning and Artificial Intelligence, worldwide
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