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 4151–4175 of 15113 papers

Title	Date	Tasks	Status	Score
Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments	Jun 12, 2020	Decision Makingreinforcement-learning	CodeCode Available	5
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning	Oct 26, 2021	Off-policy evaluationOpen-Ended Question Answering	CodeCode Available	5
Regret-Based Defense in Adversarial Reinforcement Learning	Feb 14, 2023	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck	Feb 26, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning	May 24, 2018	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents	Jun 6, 2019	Image CaptioningQuestion Answering	CodeCode Available	5
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning	Apr 3, 2025	Reinforcement Learning (RL)	CodeCode Available	5
Robust Visual Domain Randomization for Reinforcement Learning	Oct 23, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Recursive generalized type-2 fuzzy radial basis function neural networks for joint position estimation and adaptive EMG-based impedance control of lower limb exoskeletons	Feb 1, 2025	Electromyography (EMG)GPU	CodeCode Available	5
Performative Reinforcement Learning in Gradually Shifting Environments	Feb 15, 2024	reinforcement-learningReinforcement Learning	CodeCode Available	5
Performing Deep Recurrent Double Q-Learning for Atari Games	Aug 16, 2019	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Market Making via Reinforcement Learning	Apr 11, 2018	Positionreinforcement-learning	CodeCode Available	5
Robust exploration in linear quadratic reinforcement learning	Jun 4, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Reinforcement Learning of Self Enhancing Camera Image and Signal Processing	Nov 15, 2021	BlockingData Augmentation	CodeCode Available	5
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling	Mar 31, 2018	Dialogue ManagementDomain Adaptation	CodeCode Available	5
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning	Feb 1, 2020	Knowledge DistillationMuJoCo	CodeCode Available	5
On Catastrophic Interference in Atari 2600 Games	Feb 28, 2020	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Meta Policy Learning for Cold-Start Conversational Recommendation	May 24, 2022	Conversational RecommendationMeta Reinforcement Learning	CodeCode Available	5
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning	Sep 17, 2018	Deep Reinforcement LearningPoint Tracking	CodeCode Available	5
On Context Distribution Shift in Task Representation Learning for Offline Meta RL	Apr 1, 2023	continuous-controlContinuous Control	CodeCode Available	5
Towards Model-based Reinforcement Learning for Industry-near Environments	Jul 27, 2019	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	5
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch	Jul 2, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	5
Robust Learning from Observation with Model Misspecification	Feb 12, 2022	continuous-controlContinuous Control	CodeCode Available	5
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation	Oct 19, 2019	Data AugmentationDeep Reinforcement Learning	CodeCode Available	5
MUSE: Modularizing Unsupervised Sense Embeddings	Apr 15, 2017	Reinforcement LearningReinforcement 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