Jonathan C. Balloch

According to our database, Jonathan C. Balloch authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change.

Jonathan C. Balloch

CoRR, May, 2025

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change.

Jonathan C. Balloch

PhD thesis, 2025

2024

The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited.

Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl

CoRR, 2024

External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling.

Rishav Bhagat, Jonathan C. Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl

CoRR, 2024

Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning.

Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia M. Kim, Mark O. Riedl

CoRR, 2024

2023

A Simple Way to Incorporate Novelty Detection in World Models.

Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl, Robert Wright

CoRR, 2023

Neuro-Symbolic World Models for Adapting to Open World Novelty.

Jonathan C. Balloch, Zhiyu Lin, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Robert Wright, Julia M. Kim, Mark O. Riedl

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

The Role of Exploration for Task Transfer in Reinforcement Learning.

Jonathan C. Balloch, Julia M. Kim, Jessica L. Inman, Mark O. Riedl

CoRR, 2022

NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty.

Jonathan C. Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia M. Kim, Mark O. Riedl

CoRR, 2022

2021

Automated Story Generation as Question-Answering.

Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl

CoRR, 2021

Detecting and Adapting to Novelty in Games.

Xiangyu Peng, Jonathan C. Balloch, Mark O. Riedl

CoRR, 2021

Fabula Entropy Indexing: Objective Measures of Story Coherence.

Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl

CoRR, 2021

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.

James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira

Proceedings of the International Joint Conference on Neural Networks, 2021

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.

James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks.

Siddhartha Banerjee, Angel Andres Daruna, David Kent, Weiyu Liu, Jonathan C. Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav Srikanth, Sonia Chernova

Proceedings of the Robotics Research, 2019

Tool Macgyvering: Tool Construction Using Geometric Reasoning.

Lakshmi Nair, Jonathan C. Balloch, Sonia Chernova

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer.

Jonathan C. Balloch, Varun Agrawal, Irfan Essa, Sonia Chernova

CoRR, 2018