DMCL: Robot Autonomous Navigation via Depth Image Masked Contrastive Learning
Jiahao Jiang,Ping Li,Xudong Lv,Yuxiang Yang,Jiahao Jiang,Ping Li,Xudong Lv,Yuxiang Yang
Achieving high performance in deep reinforcement learning relies heavily on the ability to obtain good state representations from pixel inputs. However, learning an observation-space-to-action-space mapping from high-dimensional inputs is challenging in reinforcement learning, particularly when dealing with consecutive depth images as input states. In addition, we observe that the consecutive inpu...
