SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1650 of 15113 papers

TitleStatusHype
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Meta-Reinforcement Learning of Structured Exploration StrategiesCode1
Meta-SGD: Learning to Learn Quickly for Few-Shot LearningCode1
Compiler Optimization for Quantum Computing Using Reinforcement LearningCode1
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionCode1
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement LearningCode1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint GeneratorsCode1
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning DatasetsCode1
Continuous Deep Q-Learning with Model-based AccelerationCode1
Mirror Learning: A Unifying Framework of Policy OptimisationCode1
D2RL: Deep Dense Architectures in Reinforcement LearningCode1
Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and modelCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
Mitigating Open-Vocabulary Caption HallucinationsCode1
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative ExplorationCode1
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement LearningCode1
Asynchronous Reinforcement Learning for Real-Time Control of Physical RobotsCode1
Model-Based Active ExplorationCode1
Model-based graph reinforcement learning for inductive traffic signal controlCode1
Model-based gym environments for limit order book tradingCode1
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEsCode1
Model-Based Reinforcement Learning via Latent-Space CollocationCode1
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization AlgorithmCode1
Model-based Constrained Reinforcement Learning using Generalized Control Barrier FunctionCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
Model-Based Visual Planning with Self-Supervised Functional DistancesCode1
Model-free Deep Reinforcement Learning for Urban Autonomous DrivingCode1
ModelicaGym: Applying Reinforcement Learning to Modelica ModelsCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
MoDem: Accelerating Visual Model-Based Reinforcement Learning with DemonstrationsCode1
Modular Lifelong Reinforcement Learning via Neural CompositionCode1
A Text-based Deep Reinforcement Learning Framework for Interactive RecommendationCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Collision Probability Distribution Estimation via Temporal Difference LearningCode1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
MOPO: Model-based Offline Policy OptimizationCode1
Motif: Intrinsic Motivation from Artificial Intelligence FeedbackCode1
MPCritic: A plug-and-play MPC architecture for reinforcement learningCode1
Learning to combine primitive skills: A step towards versatile robotic manipulationCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
Multi-Agent Car Parking using Reinforcement LearningCode1
Multi-Agent Constrained Policy OptimisationCode1
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement LearningCode1
Autonomous Reinforcement Learning: Formalism and BenchmarkingCode1
Multi-Agent Generative Adversarial Imitation LearningCode1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified