Imagen de Portada

PokeRL: Reinforcement Learning for Pokemon Red

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mudireddy, Dheeraj, Patibandla, Sai
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Pokemon Red via Reinforcement Learning
por: Pleines, Marco, et al.
Publicado: (2025)

ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms
por: Surabhi, Praneet Sai Madhu, et al.
Publicado: (2025)

Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
por: Grigsby, Jake, et al.
Publicado: (2025)

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
por: Karten, Seth, et al.
Publicado: (2026)

PokéChamp: an Expert-level Minimax Language Agent
por: Karten, Seth, et al.
Publicado: (2025)

PokéAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red
por: Liu, Zihao, et al.
Publicado: (2025)

RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
por: Bhatia, Abhinav, et al.
Publicado: (2023)

QuRL: Efficient Reinforcement Learning with Quantized Rollout
por: Li, Yuhang, et al.
Publicado: (2026)

ObjectRL: An Object-Oriented Reinforcement Learning Codebase
por: Baykal, Gulcin, et al.
Publicado: (2025)

Automation and Feature Selection Enhancement with Reinforcement Learning (RL)
por: Nagaraju, Sumana Sanyasipura
Publicado: (2025)

SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
por: Gogineni, Kailash, et al.
Publicado: (2024)

Survival Reinforcement Learning: Toward Scalable Self-Supervised RL
por: Nguimatsia-Tiofack, Franki, et al.
Publicado: (2026)

RL's Razor: Why Online Reinforcement Learning Forgets Less
por: Shenfeld, Idan, et al.
Publicado: (2025)

RL as Regressor: A Reinforcement Learning Approach for Function Approximation
por: Huang, Yongchao
Publicado: (2025)

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
por: Huang, Shengyi, et al.
Publicado: (2024)

Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
por: Aryal, Manish, et al.
Publicado: (2026)

Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
por: Kumar, Ramnath, et al.
Publicado: (2023)

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
por: Li, Xuyang, et al.
Publicado: (2025)

PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
por: Piché, Alexandre, et al.
Publicado: (2025)

EchoRL: Reinforcement Learning via Rollout Echoing
por: Bi, Jinhe, et al.
Publicado: (2026)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy
por: Liu, Shaoteng, et al.
Publicado: (2024)

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
por: Hu, Sihao, et al.
Publicado: (2024)

FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies
por: Gao, Chenxiao, et al.
Publicado: (2026)

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
por: Xia, Peng, et al.
Publicado: (2026)

MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
por: Khadka, Barsat
Publicado: (2026)

HypeRL: Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems
por: Botteghi, Nicolò, et al.
Publicado: (2025)

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
por: Bai, Hao, et al.
Publicado: (2024)

RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning
por: Arzhantsev, Aleksei, et al.
Publicado: (2025)

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
por: Bhatt, Dwait, et al.
Publicado: (2026)

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
por: Liang, Anthony, et al.
Publicado: (2024)

SWaRL: Safeguard Code Watermarking via Reinforcement Learning
por: Javidnia, Neusha, et al.
Publicado: (2026)

BroRL: Scaling Reinforcement Learning via Broadened Exploration
por: Hu, Jian, et al.
Publicado: (2025)

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
por: Hou, Zhenyu, et al.
Publicado: (2025)

Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
por: Sai, Vishnu, et al.
Publicado: (2026)

RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning
por: Senczyszyn, Steven A., et al.
Publicado: (2026)

FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
por: Sharma, Esha, et al.
Publicado: (2025)

Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
por: Wang, Qi, et al.
Publicado: (2023)

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning
por: Wong, Zhen Hao, et al.
Publicado: (2025)

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
por: Liang, Anthony, et al.
Publicado: (2024)

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
por: Zhao, Yujie, et al.
Publicado: (2024)