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07/24/2023
Predicting Ordinary Differential Equations with Transformers
We develop a transformer-based sequence-to-sequence model that recovers ...
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11/05/2022
Discovering ordinary differential equations that govern time-series
Natural laws are often described through differential equations yet find...
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09/13/2021
Direct Advantage Estimation
Credit assignment is one of the central problems in reinforcement learni...
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06/11/2021
Neural Symbolic Regression that Scales
Symbolic equations are at the core of scientific discovery. The task of ...
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10/08/2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Despite recent successes of reinforcement learning (RL), it remains a ch...
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09/01/2020
Learning explanations that are hard to vary
In this paper, we investigate the principle that `good explanations are ...
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04/23/2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Standard planners for sequential decision making (including Monte Carlo ...
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08/14/2018
