326 citations · 1.2k across the 20 of their papers we have counts for
5 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…
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…
Language Expansion In Text-Based Games
Ghulam Ahmed Ansari, Sagar J P, Sarath Chandar +1
Text-based games are suitable test-beds for designing agents that can learn by interaction with the environment in the form of natural language text. Very recently, deep reinforcem…
A Deep Reinforcement Learning Chatbot (Short Version)
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capa…
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph
Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra +2
While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While…