Junhyuk Oh

发表

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Wojciech M. Czarnecki, Oriol Vinyals, I. Babuschkin, 2019, Nature.

Unicorn: Continual Learning with a Universal, Off-policy Agent pdf

Tom Schaul, Junhyuk Oh, David Silver, 2018, ArXiv.

What Can Learned Intrinsic Rewards Capture? pdf

Junhyuk Oh, Satinder Singh, David Silver, 2019, ICML.

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning pdf

Honglak Lee, Junhyuk Oh, Pushmeet Kohli, 2017, ICML.

Action-Conditional Video Prediction using Deep Networks in Atari Games

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2015, NIPS.

Control of Memory, Active Perception, and Action in Minecraft pdf

Honglak Lee, Junhyuk Oh, Satinder P. Singh, 2016, ICML.

Value Prediction Network

Satinder Singh, Honglak Lee, Junhyuk Oh, 2017, NIPS.

Contingency-Aware Exploration in Reinforcement Learning pdf

Honglak Lee, Junhyuk Oh, Mohammad Norouzi, 2018, ICLR.

A Self-Tuning Actor-Critic Algorithm

Junhyuk Oh, D. Silver, Satinder Singh, 2020, NeurIPS.

Self-Tuning Deep Reinforcement Learning

Junhyuk Oh, D. Silver, Satinder Singh, 2020, ArXiv.

Structure & Priors in Reinforcement Learning (SPiRL)

Thomas L. Griffiths, Junhyuk Oh, Abhishek Gupta, 2019, ICLR 2019.

Introducing Symmetries to Black Box Meta Reinforcement Learning

Junhyuk Oh, Hado Philip van Hasselt, Louis Kirsch, 2021, AAAI.

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Seunghoon Hong, Bohyung Han, Honglak Lee, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Balancing Constraints and Rewards with Meta-Gradient D4PG pdf

Junhyuk Oh, Nir Levine, Timothy A. Mann, 2020, ICLR.

In-context Reinforcement Learning with Algorithm Distillation

Junhyuk Oh, Satinder Singh, Ethan A. Brooks, 2022, ICLR.

Self-Imitation Learning

Satinder Singh, Honglak Lee, Junhyuk Oh, 2018, ICML.

On Learning Intrinsic Rewards for Policy Gradient Methods

Satinder Singh, Junhyuk Oh, Zeyu Zheng, 2018, NeurIPS.

Discovering Reinforcement Learning Algorithms pdf

Junhyuk Oh, Satinder Singh, David Silver, 2020, NeurIPS.

Meta-Gradient Reinforcement Learning with an Objective Discovered Online pdf

Junhyuk Oh, Satinder Singh, David Silver, 2020, NeurIPS.

Discovery of Options via Meta-Learned Subgoals pdf

Junhyuk Oh, David Silver, Matteo Hessel, 2021, NeurIPS.

Discovery of Useful Questions as Auxiliary Tasks

Richard L. Lewis, Junhyuk Oh, Satinder Singh, 2019, NeurIPS.

Efficient Deep Reinforcement Learning via Planning, Generalization, and Improved Exploration

Junhyuk Oh, Junhyuk Oh, 2018 .

Deep Reinforcement Learning with Plasticity Injection

Junhyuk Oh, Georg Ostrovski, Will Dabney, 2023, ArXiv.

Generative Adversarial Self-Imitation Learning pdf

Satinder Singh, Honglak Lee, Junhyuk Oh, 2018, ArXiv.

Many-Goals Reinforcement Learning pdf

Satinder Singh, Junhyuk Oh, Vivek Veeriah, 2018, ArXiv.

Self-Imitation Learning by Planning

Lambert Schomaker, Hamidreza Kasaei, Sha Luo, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies

Honglak Lee, Junhyuk Oh, Sungryull Sohn, 2018, NeurIPS.

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity pdf

Junhyuk Oh, David Balduzzi, Dhruva Tirumala, 2021, AAMAS.

Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies pdf

Honglak Lee, Junhyuk Oh, Sungryull Sohn, 2018, NIPS 2018.

Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization

Honglak Lee, Junhyuk Oh, Pushmeet Kohli, 2017 .

Intrinsic Reward Episode 1 Episode 2 Lifetime with task

Junhyuk Oh, M. Kroiss, Satinder Singh, 2019 .

Deep Reinforcement Learning with Plasticity Injection

Junhyuk Oh, Georg Ostrovski, Will Dabney, 2023, ArXiv.

Efficient Deep Reinforcement Learning via Planning, Generalization, and Improved Exploration

Junhyuk Oh, 2018 .