Reinforcement learning

Visual Navigation in dynamic environment

We use game engine to simulate a realistic and dynamic environment. A RL agent learns to navigate to destination and avoid pedestrian collision with visual perception.

Reinforced agglomerative clustering

To overcome the greediness of traditional linkage criteria in agglomerative clustering, we proposed a reinforcement learning approach to learn a non-greedy merge policy.