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07/28/2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
We study how vision-language models trained on Internet-scale data can b...
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07/06/2023
Focused Transformer: Contrastive Training for Context Scaling
Large language models have an exceptional capability to incorporate new ...
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12/19/2022
Natural Language to Code Generation in Interactive Data Science Notebooks
Computational notebooks, such as Jupyter notebooks, are interactive comp...
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10/31/2022
A Simple, Yet Effective Approach to Finding Biases in Code Generation
Recently, scores of high-performing code generation systems have surface...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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06/29/2022
Solving Quantitative Reasoning Problems with Language Models
Language models have achieved remarkable performance on a wide range of ...
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05/30/2022
Multi-Game Decision Transformers
A longstanding goal of the field of AI is a strategy for compiling diver...
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04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
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02/24/2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models
How can we measure the reasoning capabilities of intelligence systems? V...
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11/30/2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Large pre-trained language models perform remarkably well on tasks that ...
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11/24/2021
Sparse is Enough in Scaling Transformers
Large Transformer models yield impressive results on many tasks, but are...
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11/22/2021
Off-Policy Correction For Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) provides a framework for probl...
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10/26/2021
Hierarchical Transformers Are More Efficient Language Models
Transformer models yield impressive results on many NLP and sequence mod...
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08/16/2021
Program Synthesis with Large Language Models
This paper explores the limits of the current generation of large langua...
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06/07/2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Imagine you are in a supermarket. You have two bananas in your basket an...
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02/12/2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data
Sample efficiency and performance in the offline setting have emerged as...
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12/16/2020
CARLA Real Traffic Scenarios – novel training ground and benchmark for autonomous driving
This work introduces interactive traffic scenarios in the CARLA simulato...
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05/27/2020
Neural heuristics for SAT solving
We use neural graph networks with a message-passing architecture and an ...
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11/29/2019
Simulation-based reinforcement learning for real-world autonomous driving
We use synthetic data and a reinforcement learning algorithm to train a ...
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05/30/2019
Towards Finding Longer Proofs
We present a reinforcement learning (RL) based guidance system for autom...
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03/01/2019
Model-Based Reinforcement Learning for Atari
Model-free reinforcement learning (RL) can be used to learn effective po...
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09/10/2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
We propose an expert-augmented actor-critic algorithm, which we evaluate...
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05/19/2018
Reinforcement Learning of Theorem Proving
We introduce a theorem proving algorithm that uses practically no domain...
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04/02/2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
In the NIPS 2017 Learning to Run challenge, participants were tasked wit...
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01/09/2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes
We present a study in Distributed Deep Reinforcement Learning (DDRL) foc...
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05/19/2017