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 8276–8300 of 15113 papers

TitleStatusHype
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 332 of 605Next →

Benchmark Results

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