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Arxiv
1d
358
Image Credit: Arxiv
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
- Researchers propose a new approach called Probabilistic Curriculum Learning (PCL) for goal-based reinforcement learning (RL)
- PCL algorithm suggests goals for RL agents in continuous control and navigation tasks
- The method enables agents to learn skills in a progressive manner, similar to how humans learn
- Automating goal creation in RL remains a challenge that PCL aims to address
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