219 citations · 514 across the 35 of their papers we have counts for
6 papers · 1 filter
Environments for Lifelong Reinforcement Learning
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar +1
To achieve general artificial intelligence, reinforcement learning (RL) agents should learn not only to optimize returns for one specific task but also to constantly build more com…
Compositional Language Understanding with Text-based Relational Reasoning
Koustuv Sinha, Shagun Sodhani, William L. Hamilton +1
Neural networks for natural language reasoning have largely focused on extractive, fact-based question-answering (QA) and common-sense inference. However, it is also crucial to und…
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar, Yoshua Bengio
Catastrophic forgetting and capacity saturation are the central challenges of any parametric lifelong learning system. In this work, we study these challenges in the context of seq…
Spatial Co-location Pattern Mining - A new perspective using Graph Database
Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel
Spatial co-location pattern mining refers to the task of discovering the group of objects or events that co-occur at many places. Extracting these patterns from spatial data is ver…
Memory Augmented Self-Play
Shagun Sodhani, Vardaan Pahuja
Self-play is an unsupervised training procedure which enables the reinforcement learning agents to explore the environment without requiring any external rewards. We augment the se…
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"
Shagun Sodhani, Vardaan Pahuja
This is the reproducibility report for the paper "Learning To Count Objects In Natural Images For Visual QuestionAnswering"