Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations

ICLR 2020 Xiao MaPeter KarkusDavid HsuWee Sun LeeNan Ye

Deep reinforcement learning is successful in decision making for sophisticated games, such as Atari, Go, etc. However, real-world decision making often requires reasoning with partial information extracted from complex visual observations... (read more)

PDF Abstract ICLR 2020 PDF ICLR 2020 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet