9 citations · 14 across the 5 of their papers we have counts for
4 papers · 1 filter
End to End Binarized Neural Networks for Text Classification
Harshil Jain, Akshat Agarwal, Kumar Shridhar +1
Deep neural networks have demonstrated their superior performance in almost every Natural Language Processing task, however, their increasing complexity raises concerns. In particu…
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal, Sumit Kumar, Katia Sycara
While multi-agent interactions can be naturally modeled as a graph, the environment has traditionally been considered as a black box. We propose to create a shared agent-entity gra…
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
Akshat Agarwal, Abhinau Kumar, Kyle Dunovan +3
In the real world, agents often have to operate in situations with incomplete information, limited sensing capabilities, and inherently stochastic environments, making individual o…
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal, Ryan Hope, Katia Sycara
Research in deep reinforcement learning (RL) has coalesced around improving performance on benchmarks like the Arcade Learning Environment. However, these benchmarks conspicuously…