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 11276–11300 of 15113 papers

TitleStatusHype
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration—0
HARPO: Learning to Subvert Online Behavioral Advertising—0
Harvesting energy from turbulent winds with Reinforcement Learning—0
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents—0
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning—0
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
Hebbian Learning of Bayes Optimal Decisions—0
Hebbian Synaptic Modifications in Spiking Neurons that Learn—0
Hedging and Pricing Structured Products Featuring Multiple Underlying Assets—0
Hedging of Financial Derivative Contracts via Monte Carlo Tree Search—0
Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning—0
Hellinger Distance Constrained Regression—0
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning—0
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning—0
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
Heterotic String Model Building with Monad Bundles and Reinforcement Learning—0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments—0
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method—0
Heuristic-Guided Reinforcement Learning—0
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning—0
Hierarchical Continual Reinforcement Learning via Large Language Model—0
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection—0
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning—0
Show:102550
← PrevPage 452 of 605Next →

Benchmark Results

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