3 papers
cs.AI2026
Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning
Mohit Jiwatode, Ronja Fuchs, Robin Schmöcker +2
LLM-based game agents often perform poorly on more complex tasks. This work examines whether these failures are linked to limited spatial reasoning and evaluates whether causal pro…
cs.AI2026
From Gameplay Traces to Game Mechanics: Causal Induction with Large Language Models
Mohit Jiwatode, Alexander Dockhorn, Bodo Rosenhahn
Deep learning agents can achieve high performance in complex game domains without often understanding the underlying causal game mechanics. To address this, we investigate Causal I…
cs.AI2024
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
Mohit Jiwatode, Leon Schlecht, Alexander Dockhorn
We propose RHEA CL, which combines Curriculum Learning (CL) with Rolling Horizon Evolutionary Algorithms (RHEA) to automatically produce effective curricula during the training of…