Search Results for author:
Found 5 papers, 3 papers with code
Lifelong Learning of Large Language Model based Agents: A Roadmap
This survey is the first to systematically summarize the potential techniques for incorporating lifelong learning into LLM-based agents.
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
Large Vision-Language-Action (VLA) models, leveraging powerful pre trained Vision-Language Models (VLMs) backends, have shown promise in robotic control due to their impressive generalization ability.
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
In this work, we introduce Denoising World Model Learning (DWL), an end-to-end reinforcement learning framework for humanoid locomotion control, which demonstrates the world's first humanoid robot to master real-world challenging terrains such as snowy and inclined land in the wild, up and down stairs, and extremely uneven terrains.
Towards Lifelong Learning of Large Language Models: A Survey
This survey delves into the sophisticated landscape of lifelong learning, categorizing strategies into two primary groups: Internal Knowledge and External Knowledge.
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
In this paper, we consider the case where the target task is mismatched from but similar with that of the expert.
