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 1676–1700 of 15113 papers

TitleStatusHype
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Optimization of the Model Predictive Control Update Interval Using Reinforcement LearningCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement LearningCode1
World Model as a Graph: Learning Latent Landmarks for PlanningCode1
Symmetry-Aware Actor-Critic for 3D Molecular DesignCode1
Evolutionary Planning in Latent SpaceCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning ResearchCode1
Inverse Constrained Reinforcement LearningCode1
Adaptive Contention Window Design using Deep Q-learningCode1
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?Code1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingCode1
Hierarchical clustering in particle physics through reinforcement learningCode1
Scalable Reinforcement Learning Policies for Multi-Agent ControlCode1
Learning Associative Inference Using Fast Weight MemoryCode1
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing TasksCode1
CDT: Cascading Decision Trees for Explainable Reinforcement LearningCode1
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and BenchmarkingCode1
PLAS: Latent Action Space for Offline Reinforcement LearningCode1
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object ManipulationCode1
DeepMind Lab2DCode1
ROLL: Visual Self-Supervised Reinforcement Learning with Object ReasoningCode1
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural NetworkCode1
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
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Benchmark Results

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