Top 10 Reinforcement Learning Papers From ICLR 2020

Reinforcement Learning has become the base approach in order to attain artificial general intelligence. The ICLR (International Conference on Learning Representations) is one of the major AI conferences that take place every year. With more than 600 interesting research papers, there are around 44 research papers in reinforcement learning that have been accepted in this year’s conference.  This article lists down the top 10 papers on reinforcement learning one must read from ICLR 2020.  (The list is in no particular order) 1| Graph Convolutional Reinforcement Learning About: In this paper, the researchers proposed graph convolutional reinforcement learning. In this model, the graph convolution adapts to the dynamics of the underlying graph of the multi-agent environ