Jonathan C. Balloch

23 papers A* 3A 1B 1C 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change.
CoRR
Jonathan C. Balloch
2025 — —
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change.
Jonathan C. Balloch
2025 A* conf
Novelty Detection in Reinforcement Learning with World Models.
ICML
Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Wei Zhou, Robert Wright, Mark O. Riedl
2024 J jnl
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling.
CoRR
Rishav Bhagat, Jonathan C. Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl
2024 J jnl
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning.
CoRR
Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia M. Kim, Mark O. Riedl
2024 J jnl
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited.
CoRR
Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl
2023 J jnl
A Simple Way to Incorporate Novelty Detection in World Models.
CoRR
Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl, Robert Wright
2023 A conf
Neuro-Symbolic World Models for Adapting to Open World Novelty.
AAMAS
Jonathan C. Balloch, Zhiyu Lin, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Robert Wright, Julia M. Kim, Mark O. Riedl
2023 J jnl
Neuro-Symbolic World Models for Adapting to Open World Novelty.
CoRR
Jonathan C. Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia M. Kim, Mark O. Riedl
2022 J jnl
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty.
CoRR
Jonathan C. Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia M. Kim, Mark O. Riedl
2022 J jnl
The Role of Exploration for Task Transfer in Reinforcement Learning.
CoRR
Jonathan C. Balloch, Julia M. Kim, Jessica L. Inman, Mark O. Riedl
2021 A* conf
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.
ICCV
James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021 J jnl
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.
CoRR
James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
2021 J jnl
Automated Story Generation as Question-Answering.
CoRR
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl
2021 J jnl
Detecting and Adapting to Novelty in Games.
CoRR
Xiangyu Peng, Jonathan C. Balloch, Mark O. Riedl
2021 J jnl
Fabula Entropy Indexing: Objective Measures of Story Coherence.
CoRR
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl
2021 B conf
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.
IJCNN
James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2021 J jnl
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.
CoRR
James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira
2020 J jnl
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks.
CoRR
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
2019 C conf
Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks.
ISRR
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
2019 A* conf
Tool Macgyvering: Tool Construction Using Geometric Reasoning.
ICRA
Lakshmi Nair, Jonathan C. Balloch, Sonia Chernova
2019 J jnl
Tool Macgyvering: Tool Construction Using Geometric Reasoning.
CoRR
Lakshmi Nair, Jonathan C. Balloch, Sonia Chernova
2018 J jnl
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer.
CoRR
Jonathan C. Balloch, Varun Agrawal, Irfan Essa, Sonia Chernova