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 12451–12500 of 15113 papers

TitleStatusHype
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks—0
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning—0
Sketch-Based Linear Value Function Approximation—0
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches—0
Skill-based Meta-Reinforcement Learning—0
Skill-based Model-based Reinforcement Learning—0
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning—0
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining—0
Skill Discovery of Coordination in Multi-agent Reinforcement Learning—0
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning—0
Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations—0
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration—0
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning—0
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity—0
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters—0
skrl: Modular and Flexible Library for Reinforcement Learning—0
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL—0
SlateFree: a Model-Free Decomposition for Reinforcement Learning with Slate Actions—0
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents—0
SLiM-Gym: Reinforcement Learning for Population Genetics—0
Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs—0
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling—0
Smart caching in a Data Lake for High Energy Physics analysis—0
SmartChoices: Hybridizing Programming and Machine Learning—0
Smart Exploration in Reinforcement Learning using Bounded Uncertainty Models—0
Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning—0
Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks—0
SMART: Self-supervised Multi-task pretrAining with contRol Transformers—0
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning—0
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Smoothed Action Value Functions for Learning Gaussian Policies—0
Smoothed functional-based gradient algorithms for off-policy reinforcement learning: A non-asymptotic viewpoint—0
Smoothed Q-learning—0
Smooth Imitation Learning via Smooth Costs and Smooth Policies—0
Smoothing Deep Reinforcement Learning for Power Control for Spectrum Sharing in Cognitive Radios—0
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning—0
Snap Angle Prediction for 360° Panoramas—0
Snap Angle Prediction for 360^ Panoramas—0
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning—0
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents—0
Social diversity and social preferences in mixed-motive reinforcement learning—0
Social Interpretable Reinforcement Learning—0
Socially Fair Reinforcement Learning—0
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS—0
Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication Architecture—0
Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation—0
Soft Action Priors: Towards Robust Policy Transfer—0
Soft Actor-Critic With Integer Actions—0
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Benchmark Results

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