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07/05/2023
Causal Discovery with Language Models as Imperfect Experts
Understanding the causal relationships that underlie a system is a funda...
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03/07/2023
Can large language models build causal graphs?
Building causal graphs can be a laborious process. To ensure all relevan...
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11/19/2022
Towards good validation metrics for generative models in offline model-based optimisation
In this work we propose a principled evaluation framework for model-base...
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10/21/2022
Bridging the Gap Between Target Networks and Functional Regularization
Bootstrapping is behind much of the successes of Deep Reinforcement Lear...
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10/21/2022
Implicit Offline Reinforcement Learning via Supervised Learning
Offline Reinforcement Learning (RL) via Supervised Learning is a simple ...
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09/24/2022
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels
Controlling artificial agents from visual sensory data is an arduous tas...
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06/04/2021
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization
Target networks are at the core of recent success in Reinforcement Learn...
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10/20/2020
Iterative Amortized Policy Optimization
Policy networks are a central feature of deep reinforcement learning (RL...
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05/09/2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
In reinforcement learning (RL), stochastic environments can make learnin...
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10/24/2016