Keerthiram Murugesan
According to our database1,
Keerthiram Murugesan
authored at least 34 papers
between 2016 and 2024.
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Bibliography
2024
CoRR, 2024
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).
CoRR, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR, 2023
CoRR, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.
CoRR, 2022
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
2017
J. Comput. Biol., 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016