TOWARDS MULTI-OBJECTIVE OBJECT PUSH-GRASP POLICY BASED ON MAXIMUM ENTROPY DEEP REINFORCEMENT LEARNING UNDER SPARSE REWARDS

Towards Multi-Objective Object Push-Grasp Policy Based on Maximum Entropy Deep Reinforcement Learning under Sparse Rewards

In unstructured environments, robots need to deal with a wide variety of objects with diverse shapes, and often, the instances of these objects are unknown.Traditional methods rely on Display prom training with large-scale labeled data, but in environments with continuous and high-dimensional state spaces, the data become sparse, leading to weak ge

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Asbestos-related pleural disease

The image shows asbestos plaques on the right parietal Classes-Events pleura of a 58-year-old former shipyard worker who died of acute suppurative bronchitis.He also had cor pulmonale and congestive heart failure.Histologically, pulmonary interstitial fibrosis with asbestos bodies was demonstrated.The pleural plaques consist predominantly of dense

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