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 8251–8300 of 15113 papers

TitleStatusHype
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments—0
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning—0
Return-based Scaling: Yet Another Normalisation Trick for Deep RL—0
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty—0
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge GraphsCode1
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation PerspectiveCode1
Efficient Self-Supervised Data Collection for Offline Robot Learning—0
Adaptive Policy Transfer in Reinforcement Learning—0
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees—0
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker EnvironmentCode0
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning—0
Reinforcement learning of rare diffusive dynamics—0
Parameter-free Gradient Temporal Difference Learning—0
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning—0
Reinforcement Learning with Expert Trajectory For Quantitative Trading—0
Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge—0
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-ResolutionCode1
A parallel-network continuous quantitative trading model with GARCH and PPO—0
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning—0
Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies—0
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic CandidatesCode1
Deep reinforcement learning-designed radiofrequency waveform in MRICode1
Using reinforcement learning to design an AI assistantfor a satisfying co-op experience—0
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions—0
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise RolloutsCode1
Reward prediction for representation learning and reward shaping—0
Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket—0
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors—0
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization ProblemsCode1
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning—0
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance—0
Solving Sokoban with forward-backward reinforcement learning—0
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network—0
UVIP: Model-Free Approach to Evaluate Reinforcement Learning AlgorithmsCode0
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics—0
Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks—0
On the Linear convergence of Natural Policy Gradient Algorithm—0
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Deep Reinforcement Learning for Adaptive Exploration of Unknown EnvironmentsCode1
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference—0
Learning swimming escape patterns for larval fish under energy constraints—0
Hierarchical Reinforcement Learning for Air-to-Air Combat—0
Robotic Surgery With Lean Reinforcement LearningCode0
RL-IoT: Reinforcement Learning to Interact with IoT DevicesCode1
Reinforcement Learning for Ridesharing: An Extended Survey—0
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning—0
CARL-DTN: Context Adaptive Reinforcement Learning based Routing Algorithm in Delay Tolerant Network—0
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem—0
Show:102550
← PrevPage 166 of 303Next →

Benchmark Results

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