research
∙
03/12/2023
Synthetic Experience Replay
A key theme in the past decade has been that when large neural networks ...
share
research
∙
12/28/2022
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
KL-regularized reinforcement learning from expert demonstrations has pro...
research
∙
09/01/2022
Go-Explore Complex 3D Game Environments for Automated Reachability Testing
Modern AAA video games feature huge game levels and maps which are incre...
research
∙
07/19/2022
Bayesian Generational Population-Based Training
Reinforcement learning (RL) offers the potential for training generally ...
research
∙
06/09/2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Offline reinforcement learning has shown great promise in leveraging lar...
research
∙
10/08/2021
Revisiting Design Choices in Model-Based Offline Reinforcement Learning
Offline reinforcement learning enables agents to leverage large pre-coll...
research
∙
04/12/2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Reinforcement learning from large-scale offline datasets provides us wit...
research
∙
02/14/2021