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 48514900 of 15113 papers

TitleStatusHype
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey0
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks0
Multi-level Explanation of Deep Reinforcement Learning-based Scheduling0
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes0
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective0
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningCode2
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation0
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems0
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
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless NetworksCode1
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning0
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning0
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability0
Model Inversion Attacks against Graph Neural Networks0
Model-based gym environments for limit order book tradingCode1
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement LearningCode1
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage ControlCode1
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources0
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES0
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
Can Offline Reinforcement Learning Help Natural Language Understanding?0
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture0
Constrained Update Projection Approach to Safe Policy OptimizationCode1
Continuous MDP Homomorphisms and Homomorphic Policy GradientCode1
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model CheckingCode1
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks0
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
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
Analysis of Reinforcement Learning for determining task replication in workflows0
Feature-Rich Long-term Bitcoin Trading Assistant0
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence FunctionCode0
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation0
Robust Constrained Reinforcement Learning0
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization0
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning0
A new Reinforcement Learning framework to discover natural flavor molecules0
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics0
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters0
Model-based Reinforcement Learning with Multi-step Plan Value EstimationCode1
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning0
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Benchmark Results

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