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
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.
Date
Featured collections
Popular topics
294 results for Neuro-symbolic AI
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
Graphical modeling for dynamic safety hints generalisation for Safe Deep Reinforcement Learning Agents
- 2023
- IJCAI 2023
A Neuro-Symbolic Approach to Runtime Optimization in Resource Constrained Heterogeneous Systems
- Chitra Subramanian
- Sarath Swaminathan
- et al.
- 2023
- IJCAI 2023
Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning
- Minori Narita
- Daiki Kimura
- 2023
- IJCAI 2023
Neuro-Symbolic Model-based RL with Logical Neural Network
- 2023
- IJCAI 2023
Explainable Neuro-Symbolic Reinforcement Learning
- Daiki Kimura
- Stefan Zecevic
- et al.
- 2023
- IJCAI 2023
VSA-based positional encoding can replace recurrent networks in emergent symbol binding
- Francesco Carzaniga
- Michael Hersche
- et al.
- 2023
- NeSy 2023
Decoding Superpositions of Bound Symbols Represented by Distributed Representations
- Michael Hersche
- Zuzanna Opala
- et al.
- 2023
- NeSy 2023