RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang,Xin Wang,Shu Hu,Bin Zhu,Xiaomeng Huang,Xi Wu,Siwei Lyu,Yanfei Xiang,Xin Wang,Shu Hu,Bin Zhu,Xiaomeng Huang,Xi Wu,Siwei Lyu
Reinforcement learning is used to tackle complex tasks with high-dimensional sensory inputs. Over the past decade, a wide range of reinforcement learning algorithms have been developed, with recent progress benefiting from deep learning for raw sensory signal representation. This raises a natural question: how well do these algorithms perform across different robotic manipulation tasks? To objecti...
