Auto-Transfer: Learning to Route Transferable Representations
- Keerthiram Murugesan
- Vijay Sadashivaiah
- et al.
- 2022
- ICLR 2022
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18 results for Keerthiram Murugesan
Case-based Reasoning for Better Generalization in Text-Adventure Games
- Mattia Atzeni
- Shehzaad Dhuliawala
- et al.
- 2022
- ICLR 2022
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
- Keerthiram Murugesan
- Mattia Atzeni
- et al.
- 2021
- AAAI 2021
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 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
A Text-based Safety Benchmark for Reinforcement Learning Problems
- Ngoc Lan Hoang
- Nicolas Galichet
- et al.
- 2022
- NeurIPS 2022
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- Ivoline Ngong
- Swanand Ravindra Kadhe
- et al.
- 2024
- NeurIPS 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024
A Hybrid Neuro-Symbolic approach for Text-Based Games using Inductive Logic Programming
- Kinjal Basu
- Keerthiram Murugesan
- et al.
- 2022
- AAAI 2022
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
- Keerthiram Murugesan
- Mattia Atzeni
- et al.
- 2021
- ACL-IJCNLP 2021