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Skip to Search Results- 2Real-Time Learning
- 2Reinforcement Learning
- 1Application of Reinforcement Learning
- 1Control
- 1Deep Reinforcement Learning
- 1Policy Gradient
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Spring 2023
Vision is one of the essential means for humans to perceive the world. Similarly, today's intelligent robot agents rely on camera images to perform complex tasks in the real world. Due to the ever-changing nature of the real world, intelligent robot agents must continually learn from...
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Fall 2021
Continuous-time reinforcement learning tasks commonly use discrete time steps of fixed cycle times for actions. Choosing a small action-cycle time in such tasks allows reinforcement learning agents fast reaction and a more temporally detailed perception of the environment. The learning...