Reinforcement Learning

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

Memo enables efficient memory formation and usage for long-horizon embodied RL tasks, improving generalization and efficiency.

Learning to Prevent Monocular SLAM Failure using Reinforcement Learning

In this work, we develop a novel formulation based on Reinforcement Learning that generates fail safe trajectories while using Monocular SLAM for localization.