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Found 4 papers, 2 papers with code
Large Language Models for Orchestrating Bimanual Robots
Although there has been rapid progress in endowing robots with the ability to solve complex manipulation tasks, generating control policies for bimanual robots to solve tasks involving two hands is still challenging because of the difficulties in effective temporal and spatial coordination.
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models
Large Language Models (LLMs) demonstrate remarkable abilities to provide human-like feedback on user inputs in natural language.
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
Recent advancements in large language models have showcased their remarkable generalizability across various domains.
Accelerating lifelong reinforcement learning via reshaping rewards
A crucial issue in Lifelong RL is how best to utilize the knowledge from the previous tasks for improving the performance in the current task.
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