research
∙
11/23/2022
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
Using massive datasets to train large-scale models has emerged as a domi...
share
research
∙
08/04/2021
Policy Gradients Incorporating the Future
Reasoning about the future – understanding how decisions in the present ...
research
∙
02/20/2020
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
Explicit engineering of reward functions for given environments has been...
research
∙
09/24/2019
Avoidance Learning Using Observational Reinforcement Learning
Imitation learning seeks to learn an expert policy from sampled demonstr...
research
∙
01/30/2014