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

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Showing 1851–1900 of 15113 papers

TitleStatusHype
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks—0
Preference Elicitation for Offline Reinforcement Learning—0
GenRL: Multimodal-foundation world models for generalization in embodied agentsCode2
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control—0
Combining Automated Optimisation of Hyperparameters and Reward ShapeCode0
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI FeedbackCode0
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations—0
Privacy Preserving Reinforcement Learning for Population Processes—0
The State-Action-Reward-State-Action Algorithm in Spatial Prisoner's Dilemma Game—0
Human-Object Interaction from Human-Level Instructions—0
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data—0
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems—0
Decentralized RL-Based Data Transmission Scheme for Energy Efficient Harvesting—0
Reinforcement Learning via Auxiliary Task DistillationCode0
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
Confidence Aware Inverse Constrained Reinforcement LearningCode0
Uncertainty-Aware Reward-Free Exploration with General Function ApproximationCode0
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial OptimizationCode1
OCALM: Object-Centric Assessment with Language Models—0
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan CommentaryCode0
Diffusion Spectral Representation for Reinforcement Learning—0
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning—0
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement LearningCode0
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning—0
Direct Multi-Turn Preference Optimization for Language AgentsCode2
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingCode2
Beyond Optimism: Exploration With Partially Observable RewardsCode0
Revealing the learning process in reinforcement learning agents through attention-oriented metrics—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning—0
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-FoldCode1
Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function FactorizationCode1
Equivariant Offline Reinforcement Learning—0
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue—0
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond—0
Optimizing Wireless Discontinuous Reception via MAC Signaling Learning—0
Oralytics Reinforcement Learning AlgorithmCode0
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned PoliciesCode0
Physics-informed Imitative Reinforcement Learning for Real-world Driving—0
Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols—0
Quantum Compiling with Reinforcement Learning on a Superconducting Processor—0
Discovering Minimal Reinforcement Learning EnvironmentsCode1
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning—0
Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback—0
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement LearningCode0
More Efficient Randomized Exploration for Reinforcement Learning via Approximate SamplingCode0
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection—0
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Benchmark Results

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