research
∙
05/23/2023
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning
Offline reinforcement learning (RL) allows agents to learn effective, re...
share
research
∙
07/21/2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Our theoretical understanding of deep learning has not kept pace with it...
research
∙
07/10/2022
An Introduction to Lifelong Supervised Learning
This primer is an attempt to provide a detailed summary of the different...
research
∙
02/14/2022
Robust Policy Learning over Multiple Uncertainty Sets
Reinforcement learning (RL) agents need to be robust to variations in sa...
research
∙
10/13/2021
Block Contextual MDPs for Continual Learning
In reinforcement learning (RL), when defining a Markov Decision Process ...
research
∙
02/11/2021
Multi-Task Reinforcement Learning with Context-based Representations
The benefit of multi-task learning over single-task learning relies on t...
research
∙
12/23/2020
IIRC: Incremental Implicitly-Refined Classification
We introduce the "Incremental Implicitly-Refined Classi-fication (IIRC)"...
research
∙
10/06/2020
A Closer Look at Codistillation for Distributed Training
Codistillation has been proposed as a mechanism to share knowledge among...
research
∙
07/21/2020
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
This report documents ideas for improving the field of machine learning,...
research
∙
07/14/2020
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Multi-task reinforcement learning is a rich paradigm where information f...
research
∙
04/15/2020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
research
∙
03/14/2020
Evaluating Logical Generalization in Graph Neural Networks
Recent research has highlighted the role of relational inductive biases ...
research
∙
03/12/2020
Invariant Causal Prediction for Block MDPs
Generalization across environments is critical to the successful applica...
research
∙
09/24/2019
Recurrent Independent Mechanisms
Learning modular structures which reflect the dynamics of the environmen...
research
∙
08/16/2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
The recent success of natural language understanding (NLU) systems has b...
research
∙
06/25/2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Reinforcement learning agents that operate in diverse and complex enviro...
research
∙
06/11/2019
Learning Powerful Policies by Using Consistent Dynamics Model
Model-based Reinforcement Learning approaches have the promise of being ...
research
∙
11/26/2018
Environments for Lifelong Reinforcement Learning
To achieve general artificial intelligence, reinforcement learning (RL) ...
research
∙
11/16/2018
On Training Recurrent Neural Networks for Lifelong Learning
Capacity saturation and catastrophic forgetting are the central challeng...
research
∙
11/07/2018
Compositional Language Understanding with Text-based Relational Reasoning
Neural networks for natural language reasoning have largely focused on e...
research
∙
10/21/2018
Spatial Co-location Pattern Mining - A new perspective using Graph Database
Spatial co-location pattern mining refers to the task of discovering the...
research
∙
05/28/2018
Memory Augmented Self-Play
Self-play is an unsupervised training procedure which enables the reinfo...
research
∙
05/21/2018
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"
This is the reproducibility report for the paper "Learning To Count Obje...
research
∙
09/24/2017
Survey of Recent Advances in Visual Question Answering
Visual Question Answering (VQA) presents a unique challenge as it requir...
research
∙
09/17/2017
Reinforcement Learning Based Conversational Search Assistant
In this work, we develop an end-to-end Reinforcement Learning based arch...
research
∙
12/13/2015
