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

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Showing 4251–4300 of 15113 papers

TitleStatusHype
Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making—0
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning—0
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learning—0
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment—0
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning—0
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning—0
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access—0
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control—0
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning—0
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming—0
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games—0
A deep learning model for gas storage optimization—0
A Deep Neural Network Algorithm for Linear-Quadratic Portfolio Optimization with MGARCH and Small Transaction Costs—0
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise—0
A Deep Reinforcement Learning Approach towards Pendulum Swing-up Problem based on TF-Agents—0
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization—0
A Deep Reinforcement Learning Approach for Composing Moving IoT Services—0
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback—0
A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data—0
A Deep Reinforcement Learning Approach for the Meal Delivery Problem—0
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization—0
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control—0
A Deep Reinforcement Learning Approach for Online Parcel Assignment—0
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments—0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation—0
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control—0
A Deep Reinforcement Learning-Based Controller for Magnetorheological-Damped Vehicle Suspension—0
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks—0
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data—0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems—0
A Deep Reinforcement Learning Blind AI in DareFightingICE—0
A Deep Reinforcement Learning Chatbot—0
A Deep Reinforcement Learning Chatbot (Short Version)—0
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing—0
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images—0
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers—0
A deep reinforcement learning model based on deterministic policy gradient for collective neural crest cell migration—0
A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA—0
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Platform—0
A Deep Reinforcement Learning Trader without Offline Training—0
A Deep Value-network Based Approach for Multi-Driver Order Dispatching—0
A Definition of Happiness for Reinforcement Learning Agents—0
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Benchmark Results

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