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06/28/2023
SARC: Soft Actor Retrospective Critic
The two-time scale nature of SAC, which is an actor-critic algorithm, is...
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05/16/2023
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models
Hierarchical Topic Models (HTMs) are useful for discovering topic hierar...
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11/23/2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Individual rationality, which involves maximizing expected individual re...
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09/08/2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms
Humans excel at learning long-horizon tasks from demonstrations augmente...
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05/14/2021
Information-theoretic Evolution of Model Agnostic Global Explanations
Explaining the behavior of black box machine learning models through hum...
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10/06/2020
Unsupervised Hierarchical Concept Learning
Discovering concepts (or temporal abstractions) in an unsupervised manne...
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09/03/2020
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Training a classification model on a dataset where the instances of one ...
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01/15/2020
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
Social dilemma situations bring out the conflict between individual and ...
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01/15/2020
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
In social dilemma situations, individual rationality leads to sub-optima...
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12/23/2019
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency
As deep reinforcement learning (RL) is applied to more tasks, there is a...
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06/22/2017