research
∙
05/29/2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Diffusion models have demonstrated highly-expressive generative capabili...
share
research
∙
05/28/2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Generalizing policies across different domains with dynamics mismatch po...
research
∙
05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
research
∙
09/24/2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
While Reinforcement Learning can achieve impressive results for complex ...
research
∙
09/23/2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Training a robust policy is critical for policy deployment in real-world...
research
∙
01/12/2022
Evolutionary Action Selection for Gradient-based Policy Learning
Evolutionary Algorithms (EAs) and Deep Reinforcement Learning (DRL) have...
research
∙
05/09/2020
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks
Comment generation, a new and challenging task in Natural Language Gener...
research
∙
08/01/2016