most citedLanguage Reward Modulation for Pretraining Reinforcement Learning

4 citations · 7 across the 5 of their papers we have counts for

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cs.LG2023★ 4 cited

Language Reward Modulation for Pretraining Reinforcement Learning

Ademi Adeniji, Amber Xie, Carmelo Sferrazza +3

Using learned reward functions (LRFs) as a means to solve sparse-reward reinforcement learning (RL) tasks has yielded some steady progress in task-complexity through the years. In…

cs.LG2022

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

John So, Amber Xie, Sunggoo Jung +5

Autonomous driving is complex, requiring sophisticated 3D scene understanding, localization, mapping, and control. Rather than explicitly modelling and fusing each of these compone…

cs.LG2022

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

Ademi Adeniji, Amber Xie, Pieter Abbeel

While unsupervised skill discovery has shown promise in autonomously acquiring behavioral primitives, there is still a large methodological disconnect between task-agnostic skill p…