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 41014150 of 15113 papers

TitleStatusHype
NARS vs. Reinforcement learning: ONA vs. Q-LearningCode0
Investigation of reinforcement learning for shape optimization of profile extrusion dies0
A Learned Simulation Environment to Model Student Engagement and Retention in Automated Online Courses0
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement LearningCode0
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse0
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems0
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning0
On Reinforcement Learning for the Game of 2048Code1
Neighboring state-based RL Exploration0
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence SummarizationCode1
Critic-Guided Decoding for Controlled Text GenerationCode1
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios0
Hyperparameters in Contextual RL are Highly SituationalCode0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling0
Lifelong Reinforcement Learning with Modulating MasksCode0
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement LearningCode0
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning0
Variational Quantum Soft Actor-Critic for Robotic Arm Control0
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons0
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning0
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation0
Inverse Reinforcement Learning for Text Summarization0
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance0
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning0
Quantum policy gradient algorithms0
Near-optimal Policy Identification in Active Reinforcement Learning0
Neural Coreference Resolution based on Reinforcement Learning0
Risk-Sensitive Reinforcement Learning with Exponential Criteria0
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off0
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning0
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal NavigationCode0
Latent Variable Representation for Reinforcement Learning0
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning0
Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving0
Safe Evaluation For Offline Learning: Are We Ready To Deploy?0
Reinforcement Learning for Agile Active Target Sensing with a UAV0
Offline Reinforcement Learning for Visual NavigationCode1
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling0
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems0
Reinforcement Learning in Credit Scoring and Underwriting0
Towards Hardware-Specific Automatic Compression of Neural Networks0
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies0
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNetCode0
Active Inference and Reinforcement Learning: A unified inference on continuous state and action spaces under partial observability0
Emergent Behaviors in Multi-Agent Target Acquisition0
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning0
Residual Policy Learning for Powertrain Control0
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management0
Reinforcement Learning in System Identification0
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning0
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Benchmark Results

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