Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills

1 code implementation • 30 Oct 2023 • Seongun Kim, Kyowoon Lee, Jaesik Choi

We validate the effectiveness of our approach on complex navigation and robotic manipulation tasks in terms of sample efficiency and state coverage speed.

reinforcement-learning Reinforcement Learning (RL) +1

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

1 code implementation • NeurIPS 2023 • Kyowoon Lee, Seongun Kim, Jaesik Choi

We also illustrate that our approach presents explainability by presenting the attribution maps of the gap predictor and highlighting error-prone transitions, allowing for a deeper understanding of the generated plans.

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes

no code implementations • 30 May 2019 • Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi

We also provide conditions under which CBOCPD provides the lower prediction error compared to BOCPD.

Change Point Detection Gaussian Processes +2

Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling

1 code implementation • ICML 2018 • Kyowoon Lee, Sol-A Kim, Jaesik Choi, Seong-Whan Lee

Many real-world applications of reinforcement learning require an agent to select optimal actions from continuous spaces.

reinforcement-learning Reinforcement Learning (RL)