3 papers
cs.LG2024
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
JaeYoon Kim, Junyu Xuan, Christy Liang +1
Offline-to-online reinforcement learning (RL) leverages both pre-trained offline policies and online policies trained for downstream tasks, aiming to improve data efficiency and ac…
cs.LG2024
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features
JaeYoon Kim, Junyu Xuan, Christy Liang +1
Unsupervised pre-training has been on the lookout for the virtue of a value function representation referred to as successor features (SFs), which decouples the dynamics of the env…
cs.LG2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model
JaeYoon Kim, Junyu Xuan, Christy Liang +1
High-dimensional state and action spaces combined with sparse reward structures in reinforcement learning (RL) environments typically require advanced control architectures. Hierar…