Variance Reduction Can Improve Trade-Off in Multi-Objective Learning
- Heshan Fernando
- Lisha Chen
- et al.
- 2024
- ICASSP 2024
Publications
32 results for Keerthiram Murugesan
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
- Kinjal Basu
- Keerthiram Murugesan
- et al.
- 2024
- EACL 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024
Harnessing Large Language Models for Planning: A Lab on Strategies for Success and Mitigation of Pitfalls
- Vishal Pallagani
- Keerthiram Murugesan
- et al.
- 2024
- AAAI 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Value-based Fast and Slow AI Nudging
- M. Bergamaschi Ganapini
- F. Fabiano
- et al.
- 2023
- ETHAICS 2023 2023
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models
- Debarun Bhattacharjya
- Oktie Hassanzadeh
- et al.
- 2023
- IJCAI 2023
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers
- Vishal Pallagani
- Bharath Muppasani
- et al.
- 2023
- IJCAI 2023
ComplexWorld: A Large Language Model-based Interactive Fiction Learning Environment for Text-based Reinforcement Learning Agents
- Shreyas Basavatia
- Shivam Ratnakar
- et al.
- 2023
- IJCAI 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
- Subhajit Chaudhury
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023