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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4251–4275 of 15113 papers

Title	Date	Tasks	Status	Score
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning	Sep 30, 2022	Data AugmentationImage Generation	CodeCode Available	5
Natural Environment Benchmarks for Reinforcement Learning	Nov 14, 2018	reinforcement-learningReinforcement Learning	CodeCode Available	5
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation	Aug 1, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	5
Reinforced Continual Learning	May 31, 2018	Continual LearningGeneral Classification	CodeCode Available	5
Transfer Learning for Automated Test Case Prioritization Using XCSF	Mar 15, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	5
Reinforced Cross-modal Alignment for Radiology Report Generation	May 1, 2022	cross-modal alignmentDecision Making	CodeCode Available	5
Transfer Learning for Prosthetics Using Imitation Learning	Jan 15, 2019	BenchmarkingImitation Learning	CodeCode Available	5
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation	May 31, 2018	Image-to-Image TranslationImitation Learning	CodeCode Available	5
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning	May 26, 2024	Multi-Objective Reinforcement Learningreinforcement-learning	CodeCode Available	5
Safe and Efficient Off-Policy Reinforcement Learning	Jun 8, 2016	Atari Gamesreinforcement-learning	CodeCode Available	5
Transfer of Deep Reactive Policies for MDP Planning	Oct 26, 2018	Deep Reinforcement LearningReinforcement Learning	CodeCode Available	5
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning	Sep 11, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms	Jul 27, 2022	continuous-controlContinuous Control	CodeCode Available	5
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments	Mar 24, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	5
Safe Chance Constrained Reinforcement Learning for Batch Process Control	Apr 23, 2021	Gaussian ProcessesModel Predictive Control	CodeCode Available	5
Meta reinforcement learning as task inference	May 15, 2019	continuous-controlContinuous Control	CodeCode Available	5
Safe Continuous Control with Constrained Model-Based Policy Optimization	Apr 14, 2021	continuous-controlContinuous Control	CodeCode Available	5
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning	Sep 2, 2024	Contrastive Learninggraph construction	CodeCode Available	5
Natural Language Generation Using Reinforcement Learning with External Rewards	Nov 26, 2019	Decoderreinforcement-learning	CodeCode Available	5
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning	Nov 30, 2022	Language ModelingLanguage Modelling	CodeCode Available	5
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving	Jan 29, 2019	Autonomous DrivingDeep Reinforcement Learning	CodeCode Available	5
Reinforced Mnemonic Reader for Machine Reading Comprehension	May 8, 2017	Machine Reading ComprehensionQuestion Answering	CodeCode Available	5
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning	Dec 1, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	5
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning	Dec 30, 2021	Active LearningEthics	CodeCode Available	5
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning	Jul 2, 2024	Reinforcement Learning (RL)	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified