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 13101–13150 of 15113 papers

TitleStatusHype
Reinforcement Learning for Improving Agent DesignCode0
Mode-constrained Model-based Reinforcement Learning via Gaussian ProcessesCode0
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented LearningCode0
Reinforcement Learning for Few-Shot Text Generation AdaptationCode0
Reinforcement Learning for Dynamic Memory AllocationCode0
Reinforcement Learning for Control of Non-Markovian Cellular Population DynamicsCode0
Multitask radiological modality invariant landmark localization using deep reinforcement learningCode0
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer InteractionsCode0
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement LearningCode0
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement LearningCode0
Reinforcement Learning for Channel Coding: Learned Bit-Flipping DecodingCode0
Multi-task Maximum Entropy Inverse Reinforcement LearningCode0
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human FeedbackCode0
Multi-task Deep Reinforcement Learning with PopArtCode0
Solving Royal Game of Ur Using Reinforcement LearningCode0
Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous IntegrationCode0
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching TasksCode0
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement LearningCode0
Meta Policy Learning for Cold-Start Conversational RecommendationCode0
Representation Convergence: Mutual Distillation is Secretly a Form of RegularizationCode0
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential RecommendationCode0
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learningCode0
Machine Comprehension by Text-to-Text Neural Question GenerationCode0
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human PriorsCode0
ROBEL: Robotics Benchmarks for Learning with Low-Cost RobotsCode0
Solving The Lunar Lander Problem under Uncertainty using Reinforcement LearningCode0
Solving the optimal stopping problem with reinforcement learning: an application in financial option exerciseCode0
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningCode0
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search StrategiesCode0
Robofriend: An Adpative Storytelling Robotic Teddy Bear - Technical ReportCode0
Solving the Rubik's Cube Without Human KnowledgeCode0
Solving the scalarization issues of Advantage-based Reinforcement Learning AlgorithmsCode0
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle ApproachCode0
The Mirage of Action-Dependent Baselines in Reinforcement LearningCode0
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning ApproachCode0
Reinforcement Learning Decoders for Fault-Tolerant Quantum ComputationCode0
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) CompetitionCode0
Playing FPS Games with Deep Reinforcement LearningCode0
The Natural Language of ActionsCode0
Robotic Surgery With Lean Reinforcement LearningCode0
Some Considerations on Learning to Explore via Meta-Reinforcement LearningCode0
Some Insights into Lifelong Reinforcement Learning SystemsCode0
Variational Intrinsic ControlCode0
Multi-Stage Reinforcement Learning For Object DetectionCode0
Playing Doom with SLAM-Augmented Deep Reinforcement LearningCode0
Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game ApproachCode0
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic SatisfactionCode0
SOReL and TOReL: Two Methods for Fully Offline Reinforcement LearningCode0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
Reinforcement learning based process optimization and strategy development in conventional tunnelingCode0
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Benchmark Results

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