Microsoft Research, Montreal, Canada; McGill University, Montreal, Canada; Microsoft Research, New York, USA; University of Montreal, Montreal, Canada; Harvard University, Cambridge, USA; Beijing Institute of Technology, Beijing, China
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
goal conditioned RL;discrete bottleneck;vq-vae;self-supervised representations;hierarchical RL
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning