17 citations · 33 across the 6 of their papers we have counts for
9 papers
COMBAT: Conditional World Models for Behavioral Agent Training
Anmol Agarwal, Pranay Meshram, Sumer Singh +5
Recent advances in video generation have spurred the development of world models capable of simulating 3D-consistent environments and interactions with static objects. However, a s…
The Goofus & Gallant Story Corpus for Practical Value Alignment
Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier +2
Values or principles are key elements of human society that influence people to behave and function according to an accepted standard set of social rules to maintain social order.…
Cut the CARP: Fishing for zero-shot story evaluation
Shahbuland Matiana, JR Smith, Ryan Teehan +4
Recent advances in large-scale language models (Raffel et al., 2019; Brown et al., 2020) have brought significant qualitative and quantitative improvements in machine-driven text g…
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison +1
As more machine learning agents interact with humans, it is increasingly a prospect that an agent trained to perform a task optimally, using only a measure of task performance as f…
Fabula Entropy Indexing: Objective Measures of Story Coherence
Louis Castricato, Spencer Frazier, Jonathan Balloch +1
Automated story generation remains a difficult area of research because it lacks strong objective measures. Generated stories may be linguistically sound, but in many cases suffer…
Playing Text-Based Games with Common Sense
Sahith Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu +1
Text based games are simulations in which an agent interacts with the world purely through natural language. They typically consist of a number of puzzles interspersed with interac…