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

Showing 351400 of 15113 papers

TitleStatusHype
CaRL: Learning Scalable Planning Policies with Simple RewardsCode2
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement LearningCode2
DiffMimic: Efficient Motion Mimicking with Differentiable PhysicsCode2
MBRL-Lib: A Modular Library for Model-based Reinforcement LearningCode2
DIAMBRA Arena: a New Reinforcement Learning Platform for Research and ExperimentationCode2
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement LearningCode2
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersCode2
Dialogue Learning With Human-In-The-LoopCode2
Diffusion Actor-Critic with Entropy RegulatorCode2
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement LearningCode2
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement LearningCode2
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement LearningCode2
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical RobotCode2
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningCode2
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemCode2
GenRL: Multimodal-foundation world models for generalization in embodied agentsCode2
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal SystemsCode2
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingCode2
AndroidEnv: A Reinforcement Learning Platform for AndroidCode2
Challenges and Opportunities in Offline Reinforcement Learning from Visual ObservationsCode2
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics ModelsCode2
ODRL: A Benchmark for Off-Dynamics Reinforcement LearningCode2
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement LearningCode2
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement LearningCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk ManagementCode2
D4RL: Datasets for Deep Data-Driven Reinforcement LearningCode2
Assessment of Reinforcement Learning for Macro PlacementCode2
DayDreamer: World Models for Physical Robot LearningCode2
Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-TuningCode2
Optimizing Anytime Reasoning via Budget Relative Policy OptimizationCode2
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
Datasets and Benchmarks for Offline Safe Reinforcement LearningCode2
Decoupling Representation Learning from Reinforcement LearningCode2
Craftium: An Extensible Framework for Creating Reinforcement Learning EnvironmentsCode2
CTR-Driven Advertising Image Generation with Multimodal Large Language ModelsCode2
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, ChallengesCode2
Curiosity-driven Red-teaming for Large Language ModelsCode2
Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement LearningCode2
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningCode2
Physics-based Deep LearningCode2
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement LearningCode1
A Comprehensive Survey of Data Augmentation in Visual Reinforcement LearningCode1
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning AlgorithmsCode1
A Composable Specification Language for Reinforcement Learning TasksCode1
A Boolean Task Algebra for Reinforcement LearningCode1
ARLO: A Framework for Automated Reinforcement LearningCode1
Control-Informed Reinforcement Learning for Chemical ProcessesCode1
Contrastive State Augmentations for Reinforcement Learning-Based Recommender SystemsCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
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Benchmark Results

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