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 1951–2000 of 15113 papers

TitleStatusHype
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement LearningCode0
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement LearningCode1
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories—0
Bootstrapping Expectiles in Reinforcement Learning—0
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models—0
Prompt-based Visual Alignment for Zero-shot Policy Transfer—0
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms—0
"Give Me an Example Like This": Episodic Active Reinforcement Learning from DemonstrationsCode0
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning—0
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation—0
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays—0
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement LearningCode1
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning—0
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning—0
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement LearningCode1
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling—0
Rectifying Reinforcement Learning for Reward Matching—0
Reinforcement Learning with Lookahead Information—0
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space AlignmentCode1
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning—0
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning—0
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading—0
Reinforcement Learning as a Robotics-Inspired Framework for Insect Navigation: From Spatial Representations to Neural Implementation—0
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond—0
Causal prompting model-based offline reinforcement learning—0
REvolve: Reward Evolution with Large Language Models using Human Feedback—0
A Fast Convergence Theory for Offline Decision Making—0
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RLCode0
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage—0
MOSEAC: Streamlined Variable Time Step Reinforcement LearningCode0
NeoRL: Efficient Exploration for Nonepisodic RL—0
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems—0
Learning the Target Network in Function Space—0
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming—0
A Digital Twin Framework for Reinforcement Learning with Real-Time Self-Improvement via Human Assistive Teleoperation—0
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement LearningCode1
Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract)Code0
SUBER: An RL Environment with Simulated Human Behavior for Recommender SystemsCode1
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling—0
Bayesian Design Principles for Offline-to-Online Reinforcement LearningCode0
Enhancing Efficiency of Safe Reinforcement Learning via Sample ManipulationCode5
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement LearningCode1
Reinforcement Learning for Sociohydrology—0
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-ThoughtCode1
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents—0
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems—0
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems—0
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
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Benchmark Results

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