activity
20192026
most citedSub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning

8 citations · 16 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Fine-Tuning Generative Models as an Inference Method for Robotic Tasks

Orr Krupnik, Elisei Shafer, Tom Jurgenson +1

Adaptable models could greatly benefit robotic agents operating in the real world, allowing them to deal with novel and varying conditions. While approaches such as Bayesian infere…

cs.LG2023

Goal-Conditioned Supervised Learning with Sub-Goal Prediction

Tom Jurgenson, Aviv Tamar

Recently, a simple yet effective algorithm -- goal-conditioned supervised-learning (GCSL) -- was proposed to tackle goal-conditioned reinforcement-learning. GCSL is based on the pr…