Image de couverture de livre

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Korkmaz, Ezgi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding and Diagnosing Deep Reinforcement Learning
par: Korkmaz, Ezgi
Publié: (2024)

A Survey Analyzing Generalization in Deep Reinforcement Learning
par: Korkmaz, Ezgi
Publié: (2024)

Principled Approximation Methods for Efficient and Scalable Deep Learning
par: Savarese, Pedro
Publié: (2025)

Rethinking Plasticity in Deep Reinforcement Learning
par: He, Zhiqiang
Publié: (2026)

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
par: Tahmid, Tokey, et autres
Publié: (2025)

AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
par: Guo, Felicia B., et autres
Publié: (2026)

SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies
par: Samadi, Amir, et autres
Publié: (2024)

RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
par: Bhatia, Abhinav, et autres
Publié: (2023)

Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle
par: Bai, Xu, et autres
Publié: (2026)

RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
par: Lee, Cheol-Hui, et autres
Publié: (2026)

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
par: Farebrother, Jesse, et autres
Publié: (2024)

Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
par: Chen, Zihan, et autres
Publié: (2025)

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster
par: Feng, Laingjun, et autres
Publié: (2025)

Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
par: Ruman, Marko, et autres
Publié: (2022)

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
par: Ahmed, Soyed Tuhin
Publié: (2024)

Rethinking the Foundations for Continual Reinforcement Learning
par: Elelimy, Esraa, et autres
Publié: (2025)

DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
par: Jackermeier, Mathias, et autres
Publié: (2024)

Horizon Reduction Makes RL Scalable
par: Park, Seohong, et autres
Publié: (2025)

EchoRL: Reinforcement Learning via Rollout Echoing
par: Bi, Jinhe, et autres
Publié: (2026)

RL-GPT: Integrating Reinforcement Learning and Code-as-policy
par: Liu, Shaoteng, et autres
Publié: (2024)

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers
par: Uddin, Mohammad Irfan, et autres
Publié: (2025)

LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
par: Wu, Bo, et autres
Publié: (2025)

IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
par: Luo, Haohao, et autres
Publié: (2026)

MILE: Model-based Intervention Learning
par: Korkmaz, Yigit, et autres
Publié: (2025)

Scalable Policy-Based RL Algorithms for POMDPs
par: Anjarlekar, Ameya, et autres
Publié: (2025)

CaRL: Learning Scalable Planning Policies with Simple Rewards
par: Jaeger, Bernhard, et autres
Publié: (2025)

The Role of Deep Learning Regularizations on Actors in Offline RL
par: Tarasov, Denis, et autres
Publié: (2024)

Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning
par: Küçükoğlu, Burcu, et autres
Publié: (2025)

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
par: Zhao, Kaiyan, et autres
Publié: (2024)

SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
par: Gogineni, Kailash, et autres
Publié: (2024)

Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
par: Zhang, Bowen, et autres
Publié: (2024)

SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
par: Zhang, Xiaocheng, et autres
Publié: (2025)

Scalable Offline Model-Based RL with Action Chunks
par: Park, Kwanyoung, et autres
Publié: (2025)

Towards Principled Unsupervised Multi-Agent Reinforcement Learning
par: Zamboni, Riccardo, et autres
Publié: (2025)

FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
par: Zhang, Xikai, et autres
Publié: (2026)

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
par: Wang, Jichao, et autres
Publié: (2026)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
par: Marchesini, Enrico, et autres
Publié: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
par: Xu, Yifan, et autres
Publié: (2025)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
par: Berto, Federico, et autres
Publié: (2023)

Adaptive Policy Synchronization for Scalable Reinforcement Learning
par: Lafuente-Mercado, Rodney
Publié: (2025)