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cs.LG2024
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
Qinqing Zheng, Mikael Henaff, Amy Zhang +2
Automatically synthesizing dense rewards from natural language descriptions is a promising paradigm in reinforcement learning (RL), with applications to sparse reward problems, ope…
cs.CV2024
Scaling Vision-and-Language Navigation With Offline RL
Valay Bundele, Mahesh Bhupati, Biplab Banerjee +1
The study of vision-and-language navigation (VLN) has typically relied on expert trajectories, which may not always be available in real-world situations due to the significant eff…