Search Results for author: Je-Hwan Ryu

Found 4 papers, 1 papers with code

Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics

no code implementations6 Sep 2024 Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim

Accurate hand and object 3D meshes are obtained by fitting the hand parametric model (MANO) and the hand implicit function (HALO) to multi-view RGBD frames, with the MoCap system only for objects.

3D Hand Pose Estimation Object

Robust Imitation via Mirror Descent Inverse Reinforcement Learning

no code implementations20 Oct 2022 Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang

Recently, adversarial imitation learning has shown a scalable reward acquisition method for inverse reinforcement learning (IRL) problems.

Density Estimation Imitation Learning +3

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

1 code implementation NeurIPS 2021 Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang

Learning in a multi-target environment without prior knowledge about the targets requires a large amount of samples and makes generalization difficult.

reinforcement-learning Reinforcement Learning +2

Unbiased learning with State-Conditioned Rewards in Adversarial Imitation Learning

no code implementations1 Jan 2021 Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang

The formulation draws a strong connection between adversarial learning and energy-based reinforcement learning; thus, the architecture is capable of recovering a reward function that induces a multi-modal policy.

continuous-control Continuous Control +4

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