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 9551–9600 of 15113 papers

TitleStatusHype
The Pitfall of More Powerful Autoencoders in Lidar-Based Navigation—0
A deep learning model for gas storage optimization—0
Neural Recursive Belief States in Multi-Agent Reinforcement Learning—0
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning—0
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices—0
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction—0
A step toward a reinforcement learning de novo genome assembler—0
Metrics and continuity in reinforcement learningCode0
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis—0
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning—0
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants—0
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors—0
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym—0
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning—0
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks—0
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms—0
Hybrid Information-driven Multi-agent Reinforcement Learning—0
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development—0
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better PerformanceCode0
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search—0
Throughput Optimization for Grant-Free Multiple Access With Multiagent Deep Reinforcement Learning—0
Fast Rates for the Regret of Offline Reinforcement Learning—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Deep Reinforcement Learning-Based Product Recommender for Online Advertising—0
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection—0
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning—0
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes—0
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm—0
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning—0
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR NetworksCode0
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning—0
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep LearningCode0
Reinforcement Learning for Freight Booking Control Problems—0
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust—0
Challenges for Using Impact Regularizers to Avoid Negative Side Effects—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
Exploring the Impact of Tunable Agents in Sequential Social DilemmasCode0
Universal Trading for Order Execution with Oracle Policy Distillation—0
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems—0
Safe Multi-Agent Reinforcement Learning via Shielding—0
Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks—0
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning—0
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
Data sharing gamesCode0
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning—0
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach—0
Fast Sequence Generation with Multi-Agent Reinforcement Learning—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task—0
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Benchmark Results

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