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20232025
most citedOffline Actor-Critic Reinforcement Learning Scales to Large Models

2 citations · 3 across the 7 of their papers we have counts for

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cs.RO2023

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle +12

Reinforcement learning solely from an agent's self-generated data is often believed to be infeasible for learning on real robots, due to the amount of data needed. However, if done…

cs.LG2023

Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning

Martin Riedmiller, Andrea Gesmundo, Tim Hertweck +1

Humans instinctively know how to neglect details when it comes to solve complex decision making problems in environments with unforeseeable variations. This abstraction process see…