21 citations · 135 across the 39 of their papers we have counts for
3 papers · 1 filter
Replay-Guided Adversarial Environment Design
Minqi Jiang, Michael Dennis, Jack Parker-Holder +3
Deep reinforcement learning (RL) agents may successfully generalize to new settings if trained on an appropriately diverse set of environment and task configurations. Unsupervised…
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
Danielle Rothermel, Margaret Li, Tim Rocktäschel +1
Self-supervised pre-training of large-scale transformer models on text corpora followed by finetuning has achieved state-of-the-art on a number of natural language processing tasks…
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang +1
Although reinforcement learning has been successfully applied in many domains in recent years, we still lack agents that can systematically generalize. While relational inductive b…