9 citations · 27 across the 4 of their papers we have counts for
5 papers
Causal-aware Safe Policy Improvement for Task-oriented dialogue
Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong
The recent success of reinforcement learning's (RL) in solving complex tasks is most often attributed to its capacity to explore and exploit an environment where it has been traine…
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney +1
Disparate access to resources by different subpopulations is a prevalent issue in societal and sociotechnical networks. For example, urban infrastructure networks may enable certai…
Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar +1
Neural text decoding is important for generating high-quality texts using language models. To generate high-quality text, popular decoding algorithms like top-k, top-p (nucleus), a…
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning
Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran
There are many AI tasks involving multiple interacting agents where agents should learn to cooperate and collaborate to effectively perform the task. Here we develop and evaluate v…
Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)
Govardana Sachithanandam Ramachandran, Ajay Sohmshetty
We examine Memory Networks for the task of question answering (QA), under common real world scenario where training examples are scarce and under weakly supervised scenario, that i…