Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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43 results at 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
Why are my Pizzas late?
- - Dirk Fahland
  - Fabiana Fournier
  - et al.
- 2023
- IJCAI 2023
How Compositional is a Model?
- - Parikshit Ram
  - Tim Klinger
  - et al.
- 2023
- IJCAI 2023
Model-free Causal Reinforcement Learning with Causal Diagrams
- - Junkyu Lee
  - Tian Gao
  - et al.
- 2023
- IJCAI 2023
Generalized Planning in PDDL Domains with Pretrained Large Language Models
- - Tom Silver
  - Soham Dan
  - et al.
- 2023
- IJCAI 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
- - Sarath Sreedharan
  - Michael Katz
- 2023
- IJCAI 2023
Learning Parameterized Policies for Planning Annotated RL
- - Harsha Kokel
  - Junkyu Lee
  - et al.
- 2023
- IJCAI 2023
Towards More Likely Models for AI Planning
- - Turguy Caglar
  - Sirine Belhaj
  - et al.
- 2023
- IJCAI 2023
Pre-trained and Fine-Tuning for Satellite Image-to-Image Translation
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2023
- IJCAI 2023
Graphical modeling for dynamic safety hints generalisation for Safe Deep Reinforcement Learning Agents
- - Lamogha Chiazor
  - Ngoc Lan Hoang
  - et al.
- 2023
- IJCAI 2023