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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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02/09/2023
Scaling Goal-based Exploration via Pruning Proto-goals
One of the gnarliest challenges in reinforcement learning (RL) is explor...
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09/15/2022
Human-level Atari 200x faster
The task of building general agents that perform well over a wide range ...
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07/12/2021
Learning Expected Emphatic Traces for Deep RL
Off-policy sampling and experience replay are key for improving sample e...
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06/21/2021
Emphatic Algorithms for Deep Reinforcement Learning
Off-policy learning allows us to learn about possible policies of behavi...
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02/07/2020
Causally Correct Partial Models for Reinforcement Learning
In reinforcement learning, we can learn a model of future observations a...
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11/08/2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Recent improvements in large-scale language models have driven progress ...
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07/28/2019
Wasserstein Fair Classification
We propose an approach to fair classification that enforces independence...
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02/27/2019
Degenerate Feedback Loops in Recommender Systems
Machine learning is used extensively in recommender systems deployed in ...
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07/24/2018
Learning from Delayed Outcomes with Intermediate Observations
Optimizing for long term value is desirable in many practical applicatio...
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03/05/2018
