Decisions made by machine learning models may have lasting impacts over ...
Despite recent progress in reinforcement learning (RL) from raw pixel da...
Probabilistic dynamics model ensemble is widely used in existing model-b...
Model-based reinforcement learning (RL) achieves higher sample efficienc...
In many reinforcement learning (RL) applications, the observation space ...
Model-based reinforcement learning is a framework in which an agent lear...