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 451–500 of 15113 papers

TitleStatusHype
ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging ResearchCode1
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning AgentsCode1
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model CheckingCode1
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning ApproachCode1
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction EstimationCode1
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement LearningCode1
Critic-Guided Decision Transformer for Offline Reinforcement LearningCode1
Critic-Guided Decoding for Controlled Text GenerationCode1
CropGym: a Reinforcement Learning Environment for Crop ManagementCode1
Cross-Domain Policy Adaptation by Capturing Representation MismatchCode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
A Benchmark Environment for Offline Reinforcement Learning in Racing GamesCode1
A Deep Reinforcement Learning Framework for the Financial Portfolio Management ProblemCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod RobotCode1
A Benchmark Environment Motivated by Industrial Control ProblemsCode1
Deep Reinforcement Learning for List-wise RecommendationsCode1
CURL: Contrastive Unsupervised Representation Learning for Reinforcement LearningCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
Curriculum Offline Imitation LearningCode1
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationCode1
Contrastive State Augmentations for Reinforcement Learning-Based Recommender SystemsCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement LearningCode1
Contrastive Preference Learning: Learning from Human Feedback without RLCode1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement LearningCode1
Deceptive Path Planning via Reinforcement Learning with Graph Neural NetworksCode1
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise DatasetsCode1
Decoupling Value and Policy for Generalization in Reinforcement LearningCode1
Deep Active Inference for Partially Observable MDPsCode1
Contrastive Reinforcement Learning of Symbolic Reasoning DomainsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Deep Laplacian-based Options for Temporally-Extended ExplorationCode1
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial MarketsCode1
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character SkillsCode1
DeepMind Lab2DCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingCode1
Deep Reinforcement Learning based Group Recommender SystemCode1
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as ObservationCode1
Deep Reinforcement Learning for Active High Frequency TradingCode1
Continuous-Time Model-Based Reinforcement LearningCode1
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Benchmark Results

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