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 62016250 of 15113 papers

TitleStatusHype
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle0
Graph Value Iteration0
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning0
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems0
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection0
Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control0
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey0
"Guess what I'm doing": Extending legibility to sequential decision tasks0
Safe reinforcement learning control for continuous-time nonlinear systems without a backup controller0
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems0
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning0
Measuring Interventional Robustness in Reinforcement LearningCode0
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation0
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation0
Multi-level Explanation of Deep Reinforcement Learning-based Scheduling0
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective0
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes0
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks0
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems0
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation0
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning0
Selective Token Generation for Few-shot Natural Language GenerationCode0
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control0
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control0
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES0
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources0
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability0
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning0
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning0
Model Inversion Attacks against Graph Neural Networks0
M^2DQN: A Robust Method for Accelerating Deep Q-learning NetworkCode0
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning0
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement LearningCode0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks0
Can Offline Reinforcement Learning Help Natural Language Understanding?0
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)0
ProAPT: Projection of APT Threats with Deep Reinforcement Learning0
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration0
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees0
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control0
Robust Constrained Reinforcement Learning0
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence FunctionCode0
Feature-Rich Long-term Bitcoin Trading Assistant0
Analysis of Reinforcement Learning for determining task replication in workflows0
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization0
A new Reinforcement Learning framework to discover natural flavor molecules0
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning0
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Benchmark Results

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