Porimon: An LLM-Based Pok'emon Battle Agent Enhanced by Long/Short-Term Knowledge Augmented Generation
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/smogon/damage-calc
Terminology
Sources
- ReAct: Synergizing Reasoning and Acting in Language Models
- A Survey on Large Language Model-Based Game Agents
- Human-Level Competitive Pok'emon via Scalable Offline Reinforcement Learning with Transformers
- PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection