Prashan Madumal

According to our database, Prashan Madumal authored at least 13 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Explainable Reinforcement Learning Through a Causal Lens.

Prashan Madumal

PhD thesis, 2021

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors.

Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints.

Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou

CoRR, 2020

Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors.

Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein

CoRR, 2020

Distal Explanations for Explainable Reinforcement Learning Agents.

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

CoRR, 2020

Explainable Agency in Reinforcement Learning Agents.

Prashan Madumal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Explainable Reinforcement Learning through a Causal Lens.

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents.

Joshua Newn, Ronal Rajneshwar Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere

Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Explainable Agency in Intelligent Agents: Doctoral Consortium.

Prashan Madumal

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Grounded Interaction Protocol for Explainable Artificial Intelligence.

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Interaction Design for Explainable AI: Workshop Proceedings.

Prashan Madumal, Ronal Rajneshwar Singh, Joshua Newn, Frank Vetere

CoRR, 2018

Towards a Grounded Dialog Model for Explainable Artificial Intelligence.

Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg

CoRR, 2018

Interaction design for explainable AI: workshop proposal.

Prashan Madumal, Ronal Rajneshwar Singh, Joshua Newn, Frank Vetere

Proceedings of the 30th Australian Conference on Computer-Human Interaction, 2018