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Found 12 papers, 8 papers with code
ETHER: Aligning Emergent Communication for Hindsight Experience Replay
We show that the referential game's agents make an artificial language emerge that is aligned with the natural-like language used to describe goals in the BabyAI benchmark and that it is expressive enough so as to also describe unsuccessful RL trajectories and thus provide feedback to the RL agent to leverage the linguistic, structured information contained in all trajectories.
Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
We show that it is possible to select encodings effectively using a standard set of features for constraint problems; however we obtain better performance with a new set of features specifically designed for the pseudo-Boolean and linear constraints.
Visual Referential Games Further the Emergence of Disentangled Representations
Natural languages are powerful tools wielded by human beings to communicate information.
Meta-Referential Games to Learn Compositional Learning Behaviours
Human beings use compositionality to generalise from past experiences to novel experiences.
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
Conversational Artificial Intelligence (CAI) systems and Intelligent Personal Assistants (IPA), such as Alexa, Cortana, Google Home and Siri are becoming ubiquitous in our lives, including those of children, the implications of which is receiving increased attention, specifically with respect to the effects of these systems on children's cognitive, social and linguistic development.
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
We propose Quality Evolvability ES, a method that simultaneously optimizes for task performance and evolvability and without this restriction.
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
Nevertheless, while shown robust with symbolic stimuli, the effect of the batch size is not so clear-cut when dealing with visual stimuli.
ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games
Firstly, a nomenclature is proposed to understand the main initiatives in studying language emergence and grounding, accounting for the variations in assumptions and constraints.
A Comparison of Self-Play Algorithms Under a Generalized Framework
They allow to verify and replicate existing findings, and to link is connected results.
Metagame Autobalancing for Competitive Multiplayer Games
Automated game balancing has often focused on single-agent scenarios.
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams
Video game streaming provides the viewer with a rich set of audio-visual data, conveying information both with regards to the game itself, through game footage and audio, as well as the streamer's emotional state and behaviour via webcam footage and audio.
Time to Die: Death Prediction in Dota 2 using Deep Learning
Even though death events are rare within a game (1\% of the data), the model achieves 0. 377 precision with 0. 725 recall on test data when prompted to predict which of any of the 10 players of either team will die within 5 seconds.
