(→Sample Efficient RL) |
(→Autonomy and Perception) |
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| − | + | =Autonomy and Perception= | |
Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning. | Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning. | ||
| − | + | ==Works== | |
===Sample Efficient RL=== | ===Sample Efficient RL=== | ||
Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning.
Improve RL sample efficiency with two new tools: Episodic Noise and Difficulty Manager.
Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning.
Improve RL sample efficiency with two new tools: Episodic Noise and Difficulty Manager.