51 citations · 296 across the 20 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 11 cited
URLB: Unsupervised Reinforcement Learning Benchmark
Michael Laskin, Denis Yarats, Hao Liu +6
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm to solve a range of complex yet specific control tasks. Yet training generalist agents that can quickly adapt to…
cs.LG2021★ 12 cited
APS: Active Pretraining with Successor Features
Hao Liu, Pieter Abbeel
We introduce a new unsupervised pretraining objective for reinforcement learning. During the unsupervised reward-free pretraining phase, the agent maximizes mutual information betw…
cs.LG2021★ 11 cited
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu, Pieter Abbeel
We introduce a new unsupervised pre-training method for reinforcement learning called APT, which stands for Active Pre-Training. APT learns behaviors and representations by activel…