200 citations · 262 across the 8 of their papers we have counts for
4 papers · 1 filter
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm van Seijen, Hadi Nekoei, Evan Racah +1
Deep model-based Reinforcement Learning (RL) has the potential to substantially improve the sample-efficiency of deep RL. While various challenges have long held it back, a number…
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar +12
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made…
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…
Memory Augmented Neural Networks with Wormhole Connections
Caglar Gulcehre, Sarath Chandar, Yoshua Bengio
Recent empirical results on long-term dependency tasks have shown that neural networks augmented with an external memory can learn the long-term dependency tasks more easily and ac…