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06/12/2023
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models
Prompt learning has been proven to be highly effective in improving pre-...
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05/10/2023
Waterberry Farms: A Novel Benchmark For Informative Path Planning
Recent developments in robotic and sensor hardware make data collection ...
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06/24/2020
Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning
The first deep RL algorithm, DQN, was limited by the overestimation bias...
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06/18/2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Unsupervised meta-learning approaches rely on synthetic meta-tasks that ...
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03/24/2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
Many cooperative multi-agent problems require agents to learn individual...
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09/24/2019
Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter
Recent research demonstrated that it is feasible to end-to-end train mul...
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08/24/2019
Universal Policies to Learn Them All
We explore a collaborative and cooperative multi-agent reinforcement lea...
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01/28/2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning
We are considering a scenario where a team of bodyguard robots provides ...
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01/28/2019
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning
In this paper we are considering a scenario where a team of robot bodygu...
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11/28/2018
Unsupervised Meta-Learning For Few-Shot Image and Video Classification
Few-shot or one-shot learning of classifiers for images or videos is an ...
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09/26/2018
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
Several recent projects demonstrated the promise of end-to-end learned d...
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09/12/2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
We are considering the problem of controlling a team of robotic bodyguar...
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01/17/2018
Towards a computational model of social norms
We describe a computational model of social norms based on identifying v...
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07/10/2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
In this paper, we propose a multi-task learning from demonstration metho...
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10/17/2016
Internet of Things Applications: Animal Monitoring with Unmanned Aerial Vehicle
In animal monitoring applications, both animal detection and their movem...
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03/12/2016
From virtual demonstration to real-world manipulation using LSTM and MDN
Robots assisting the disabled or elderly must perform complex manipulati...
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03/31/2013
A cookbook of translating English to Xapi
The Xapagy cognitive architecture had been designed to perform narrative...
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03/29/2013
Agent-based modeling of a price information trading business
We describe an agent-based simulation of a fictional (but feasible) info...
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11/24/2012
Shadows and Headless Shadows: an Autobiographical Approach to Narrative Reasoning
The Xapagy architecture is a story-oriented cognitive system which relie...
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11/24/2012
Modeling problems of identity in Little Red Riding Hood
This paper argues that the problem of identity is a critical challenge i...
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11/24/2012
Shadows and headless shadows: a worlds-based, autobiographical approach to reasoning
Many cognitive systems deploy multiple, closed, individually consistent ...
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05/17/2011