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 401–450 of 15113 papers

TitleStatusHype
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Augmenting Policy Learning with Routines Discovered from a Single DemonstrationCode1
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field ExperimentsCode1
Dataset Reset Policy Optimization for RLHFCode1
Curriculum Offline Imitation LearningCode1
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial MarketsCode1
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationCode1
Attacking Video Recognition Models with Bullet-Screen CommentsCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement LearningCode1
D2RL: Deep Dense Architectures in Reinforcement LearningCode1
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN PredictionCode1
Curriculum-based Asymmetric Multi-task Reinforcement LearningCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language ModelsCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative ExplorationCode1
Asynchronous Reinforcement Learning for Real-Time Control of Physical RobotsCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning ApproachCode1
Curious Hierarchical Actor-Critic Reinforcement LearningCode1
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement LearningCode1
A Benchmark Environment Motivated by Industrial Control ProblemsCode1
A SWAT-based Reinforcement Learning Framework for Crop ManagementCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
A Benchmark Environment for Offline Reinforcement Learning in Racing GamesCode1
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RLCode1
CURL: Contrastive Unsupervised Representation Learning for Reinforcement LearningCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement LearningCode1
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and SimplicityCode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement LearningCode1
CropGym: a Reinforcement Learning Environment for Crop ManagementCode1
ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging ResearchCode1
Cross-Domain Policy Adaptation by Capturing Representation MismatchCode1
Acme: A Research Framework for Distributed Reinforcement LearningCode1
Asset Allocation: From Markowitz to Deep Reinforcement LearningCode1
A Text-based Deep Reinforcement Learning Framework for Interactive RecommendationCode1
CROP: Conservative Reward for Model-based Offline Policy OptimizationCode1
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space AlignmentCode1
Cryptocurrency Portfolio Management with Deep Reinforcement LearningCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
Counterfactual Data Augmentation using Locally Factored DynamicsCode1
A simple but strong baseline for online continual learning: Repeated Augmented RehearsalCode1
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise DatasetsCode1
Co-Reinforcement Learning for Unified Multimodal Understanding and GenerationCode1
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Benchmark Results

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