Reinforcement learning using density estimation with online clustering for exploration
2023 · International Patent App. PCT/EP2023/076893 (2023)
Abstract
A method for exploration in reinforcement learning that combines online clustering with density estimation to compute novelty-based intrinsic rewards, enabling agents to efficiently track state visitation counts across thousands of episodes in sparse-reward environments.