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 1551–1600 of 15113 papers

TitleStatusHype
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement LearningCode1
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving IntelligenceCode1
Human-Inspired Multi-Agent Navigation using Knowledge DistillationCode1
Inclined Quadrotor Landing using Deep Reinforcement LearningCode1
Lyapunov Barrier Policy OptimizationCode1
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics ModelCode1
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution SystemsCode1
Solving Compositional Reinforcement Learning Problems via Task ReductionCode1
Large Batch Simulation for Deep Reinforcement LearningCode1
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
XDO: A Double Oracle Algorithm for Extensive-Form GamesCode1
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement LearningCode1
Reinforcement Learning with Prototypical RepresentationsCode1
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement LearningCode1
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous RacingCode1
A Crash Course on Reinforcement LearningCode1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world modelsCode1
Lyapunov-Regularized Reinforcement Learning for Power System Transient StabilityCode1
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe BehaviorsCode1
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight DeliveryCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
Learning the Next Best View for 3D Point Clouds via Topological FeaturesCode1
Continuous Coordination As a Realistic Scenario for Lifelong LearningCode1
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent GamesCode1
Model-based Constrained Reinforcement Learning using Generalized Control Barrier FunctionCode1
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB trafficCode1
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational GraphCode1
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction ReportCode1
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online PlanningCode1
On the Importance of Hyperparameter Optimization for Model-based Reinforcement LearningCode1
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and NeuroscienceCode1
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement LearningCode1
Memory-based Deep Reinforcement Learning for POMDPsCode1
Information Directed Reward Learning for Reinforcement LearningCode1
Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and modelCode1
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine TranslationCode1
Exploring Supervised and Unsupervised Rewards in Machine TranslationCode1
Reinforcement Learning with Prototypical RepresentationsCode1
Program Synthesis Guided Reinforcement Learning for Partially Observed EnvironmentsCode1
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human PlayerCode1
Decoupling Value and Policy for Generalization in Reinforcement LearningCode1
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent SpaceCode1
SeaPearl: A Constraint Programming Solver guided by Reinforcement LearningCode1
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics ScenesCode1
Adaptive Rational Activations to Boost Deep Reinforcement LearningCode1
State Entropy Maximization with Random Encoders for Efficient ExplorationCode1
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement LearningCode1
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Benchmark Results

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