Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments

no code implementations • ICML Workshop URL 2021 • Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

We study this question in dynamic partially-observed environments, and argue that a compact and general learning objective is to minimize the entropy of the agent's state visitation estimated using a latent state-space model.

Accelerating Online Reinforcement Learning via Model-Based Meta-Learning

no code implementations • ICLR Workshop Learning_to_Learn 2021 • John D Co-Reyes, Sarah Feng, Glen Berseth, Jie Qui, Sergey Levine

Current reinforcement learning algorithms struggle to quickly adapt to new situations without large amounts of experience and usually without large amounts of optimization over that experience.

Meta-Learning reinforcement-learning +1