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 15011550 of 15113 papers

TitleStatusHype
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement LearningCode1
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy OptimizationCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
Uncertainty Weighted Actor-Critic for Offline Reinforcement LearningCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with PybulletCode1
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation PerspectiveCode1
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge GraphsCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-ResolutionCode1
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise RolloutsCode1
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic CandidatesCode1
Deep reinforcement learning-designed radiofrequency waveform in MRICode1
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
Deep Reinforcement Learning for Adaptive Exploration of Unknown EnvironmentsCode1
RL-IoT: Reinforcement Learning to Interact with IoT DevicesCode1
Constructions in combinatorics via neural networksCode1
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement LearningCode1
Computational Performance of Deep Reinforcement Learning to find Nash EquilibriaCode1
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-InteractionCode1
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand SystemsCode1
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control ProblemCode1
Visual Navigation with Spatial AttentionCode1
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement LearningCode1
Language Models are Few-Shot ButlersCode1
Towards Standardising Reinforcement Learning Approaches for Production Scheduling ProblemsCode1
Generalising Discrete Action Spaces with Conditional Action TreesCode1
Quantum Architecture Search via Deep Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
Podracer architectures for scalable Reinforcement LearningCode1
Online and Offline Reinforcement Learning by Planning with a Learned ModelCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
CropGym: a Reinforcement Learning Environment for Crop ManagementCode1
Optimal Market Making by Reinforcement LearningCode1
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural NetworksCode1
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation SystemsCode1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint GeneratorsCode1
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable PhysicsCode1
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)Code1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement LearningCode1
Simultaneous Navigation and Construction Benchmarking EnvironmentsCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
Deep Reinforcement Learning for Resource Allocation in Business ProcessesCode1
ReAgent: Point Cloud Registration using Imitation and Reinforcement LearningCode1
Character Controllers Using Motion VAEsCode1
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement LearningCode1
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlowCode1
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D UltrasoundCode1
Show:102550
← PrevPage 31 of 303Next →

Benchmark Results

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