Hiroki Furuta

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

2021 · arXiv (Cornell University)

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 …

Generalized Decision Transformer for Offline Hindsight Information Matching

2021 · arXiv (Cornell University)

How to extract as much learning signal from each trajectory data has been a key problem in reinforcement learning (RL), where sample inefficiency has posed serious challenges for practical applications. Recent works have shown that …