Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
This academic paper discusses the complexities associated with choosing the right state representation for reinforcement learning (RL) in robot control, focusing on a specific task: antipodal and planar object grasping….
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