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 1731–1740 of 15113 papers

Title	Date	Tasks	Status	Hype
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning	Oct 23, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Learning Guidance Rewards with Trajectory-space Smoothing	Oct 23, 2020	AttributeDeep Reinforcement Learning	CodeCode Available	1
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning	Oct 23, 2020	Collision AvoidanceDeep Reinforcement Learning	CodeCode Available	1
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing	Oct 22, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Accelerating Reinforcement Learning with Learned Skill Priors	Oct 22, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning	Oct 22, 2020	Offline RLreinforcement-learning	CodeCode Available	1
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation	Oct 21, 2020	Data-to-Text Generationreinforcement-learning	CodeCode Available	1
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach	Oct 21, 2020	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning	Oct 21, 2020	Deep Reinforcement LearningGPU	CodeCode Available	1
Improving Generalization in Reinforcement Learning with Mixture Regularization	Oct 21, 2020	Data AugmentationDeep Reinforcement Learning	CodeCode Available	1

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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