Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning

Progress in deep reinforcement learning (RL) research is largely enabled by benchmark task environments. However, analyzing the nature of those environments is often overlooked. In particular, we still do not have agreeable ways to measure the …

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

We propose a novel method that achieves both high sample-efficiency in offline RL and "deployment-efficiency" in online RL.