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

Showing 426450 of 15113 papers

TitleStatusHype
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 Performance0.76Unverified
2PPOMean Normalized Performance0.58Unverified