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JeHwan Ryu

2 accepted papers

2022

Robust Imitation via Mirror Descent Inverse Reinforcement Learning

NeurIPS 2022accept

Recently, adversarial imitation learning has shown a scalable reward acquisition method for inverse reinforcement learning (IRL) problems. However, estimated reward signals often become uncertain and fail to train a reliable statistical model since the existing methods tend to solve hard optimizatio…

Cited by 5SourcePDFScholar
2021

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning

NeurIPS 2021poster

Learning in a multi-target environment without prior knowledge about the targets requires a large amount of samples and makes generalization difficult. To solve this problem, it is important to be able to discriminate targets through semantic understanding. In this paper, we propose goal-aware cross…