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A survey of imitation learning: Algorithms, recent developments, and challenges
M Zare, PM Kebria, A Khosravi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the development of robotics and artificial intelligence (AI) systems has been
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
Rt-h: Action hierarchies using language
S Belkhale, T Ding, T ** for offline safe reinforcement learning
Offline safe reinforcement learning (RL) aims to train a policy that satisfies con-straints using
a pre-collected dataset. Most current methods struggle with the mismatch between imperfect …
a pre-collected dataset. Most current methods struggle with the mismatch between imperfect …
Efficient data collection for robotic manipulation via compositional generalization
Data collection has become an increasingly important problem in robotic manipulation, yet
there still lacks much understanding of how to effectively collect data to facilitate broad …
there still lacks much understanding of how to effectively collect data to facilitate broad …
Inverse-rlignment: Inverse reinforcement learning from demonstrations for llm alignment
Aligning Large Language Models (LLMs) is crucial for enhancing their safety and utility.
However, existing methods, primarily based on preference datasets, face challenges such …
However, existing methods, primarily based on preference datasets, face challenges such …
Re-mix: Optimizing data mixtures for large scale imitation learning
Increasingly large imitation learning datasets are being collected with the goal of training
foundation models for robotics. However, despite the fact that data selection has been of …
foundation models for robotics. However, despite the fact that data selection has been of …
Incremental learning of retrievable skills for efficient continual task adaptation
Abstract Continual Imitation Learning (CiL) involves extracting and accumulating task
knowledge from demonstrations across multiple stages and tasks to achieve a multi-task …
knowledge from demonstrations across multiple stages and tasks to achieve a multi-task …