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

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Showing 1801–1850 of 15113 papers

TitleStatusHype
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement LearningCode1
Sample-Efficient Automated Deep Reinforcement LearningCode1
On the model-based stochastic value gradient for continuous reinforcement learningCode1
Market-making with reinforcement-learning (SAC)Code1
Learning Off-Policy with Online PlanningCode1
A Composable Specification Language for Reinforcement Learning TasksCode1
Social-Aware Incentive Mechanism for VehicularCrowdsensing by Deep Reinforcement LearningCode1
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary MissionsCode1
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learningCode1
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged FraudstersCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
SuperSuit: Simple Microwrappers for Reinforcement Learning EnvironmentsCode1
Safe Reinforcement Learning in Constrained Markov Decision ProcessesCode1
Cautious Adaptation For Reinforcement Learning in Safety-Critical SettingsCode1
Sample-efficient Cross-Entropy Method for Real-time PlanningCode1
OR-Gym: A Reinforcement Learning Library for Operations Research ProblemsCode1
Offline Meta-Reinforcement Learning with Advantage WeightingCode1
TriFinger: An Open-Source Robot for Learning DexterityCode1
SafePILCO: a software tool for safe and data-efficient policy synthesisCode1
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic RewardsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
The Emergence of Adversarial Communication in Multi-Agent Reinforcement LearningCode1
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without SacrificesCode1
Robust Deep Reinforcement Learning through Adversarial LossCode1
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
Robust Reinforcement Learning using Adversarial PopulationsCode1
Reinforced Epidemic Control: Saving Both Lives and EconomyCode1
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to RewardsCode1
Munchausen Reinforcement LearningCode1
Multi-Step Reinforcement Learning for Single Image Super-ResolutionCode1
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Maximum Mutation Reinforcement Learning for Scalable ControlCode1
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on GraphsCode1
BabyAI 1.1Code1
Value-Decomposition Multi-Agent Actor-CriticsCode1
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued PoliciesCode1
Monte-Carlo Tree Search as Regularized Policy OptimizationCode1
Distributional Reinforcement Learning via Moment MatchingCode1
Integrating Deep Reinforcement Learning Networks with Health System SimulationsCode1
Active MR k-space Sampling with Reinforcement LearningCode1
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loopCode1
Discovering Reinforcement Learning AlgorithmsCode1
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture SearchCode1
WordCraft: An Environment for Benchmarking Commonsense AgentsCode1
Provably Good Batch Reinforcement Learning Without Great ExplorationCode1
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningCode1
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring RotorsCode1
Learning Robust State Abstractions for Hidden-Parameter Block MDPsCode1
Implicit Distributional Reinforcement LearningCode1
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Benchmark Results

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