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 10401–10450 of 15113 papers

TitleStatusHype
Decoding Polar Codes with Reinforcement Learning—0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents—0
Efficient Transformers: A Survey—0
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement LearningCode0
Variance-Reduced Off-Policy Memory-Efficient Policy Search—0
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing—0
Multi-Agent Reinforcement Learning in Cournot Games—0
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning—0
Efficient Competitive Self-Play Policy Optimization—0
Extended Radial Basis Function Controller for Reinforcement Learning—0
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process—0
Deep Learning Interference Cancellation in Wireless Networks—0
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments—0
Physically Embedded Planning Problems: New Challenges for Reinforcement LearningCode0
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their EnvironmentsCode0
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning—0
COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning—0
Importance Weighted Policy Learning and Adaptation—0
A framework for reinforcement learning with autocorrelated actionsCode0
AoI Minimization in Status Update Control with Energy Harvesting Sensors—0
Deep Reinforcement Learning for Option Replication and Hedging—0
Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control—0
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning—0
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games—0
Graph neural networks-based Scheduler for Production planning problems using Reinforcement Learning—0
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search—0
Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone—0
Bayesian Inverse Reinforcement Learning for Collective Animal MovementCode0
Induction and Exploitation of Subgoal Automata for Reinforcement Learning—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment—0
Active Learning of Causal Structures with Deep Reinforcement Learning—0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
Robust Spoken Language Understanding with RL-based Value Error Recovery—0
PAC Reinforcement Learning Algorithm for General-Sum Markov Games—0
A Hybrid PAC Reinforcement Learning Algorithm—0
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization—0
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement LearningCode0
TAP-Net: Transport-and-Pack using Reinforcement Learning—0
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling—0
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics—0
Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises—0
A reinforcement learning approach to hybrid control design—0
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning—0
Solving the single-track train scheduling problem via Deep Reinforcement Learning—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Ranking Policy DecisionsCode0
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL—0
Beyond variance reduction: Understanding the true impact of baselines on policy optimization—0
Data-driven Outer-Loop Control Using Deep Reinforcement Learning for Trajectory Tracking—0
Show:102550
← PrevPage 209 of 303Next →

Benchmark Results

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