research
∙
05/31/2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Despite the seeming success of contemporary grounded text generation sys...
share
research
∙
03/16/2022
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act
Traditionally, Reinforcement Learning (RL) aims at deciding how to act o...
research
∙
10/20/2021
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
Incorporating prior knowledge in reinforcement learning algorithms is ma...
research
∙
06/08/2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
We propose to learn to distinguish reversible from irreversible actions ...
research
∙
02/08/2021
Adversarially Guided Actor-Critic
Despite definite success in deep reinforcement learning problems, actor-...
research
∙
12/22/2020
Self-Imitation Advantage Learning
Self-imitation learning is a Reinforcement Learning (RL) method that enc...
research
∙
07/18/2019