Siwei Chen

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations.

2020 · arXiv (Cornell University)

Deep model-based reinforcement learning (MBRL) has achieved great sample-efficiency and generalization in decision making for sophisticated simulated tasks, such as Atari games. However, real-world robot decision making requires reasoning with complex natural visual observations. This …