Co-occurring keywords · papers mentioning both
Papers
Agent Skill Acquisition for Large Language Models via CycleQD
ICLR 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
AAAI 2025
Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning
CVPR 2025
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
CVPR 2025
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
NeurIPS 2024
Efficient skill acquisition for insertion tasks in obstructed environments
L4DC 2024
Personalized-ABA: Personalized Treatment Plan Generation for Applied Behavior Analysis using Natural Language Processing
EMNLP 2024
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
CoRL 2023
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
CoRL 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances
ICLR 2022
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
JMLR 2021
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
NeurIPS 2021
How Should an Agent Practice?
AAAI 2020
The NetHack Learning Environment
NeurIPS 2020
Fake It Till You Make It: Learning-Compatible Performance Support
UAI 2019
Emergent Complexity via Multi-Agent Competition
ICLR 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
ICLR 2018
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling
AISTATS 2015