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 1541–1550 of 15113 papers

Title	Date	Tasks	Status	Hype
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning	Mar 31, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Simultaneous Navigation and Construction Benchmarking Environments	Mar 31, 2021	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control	Mar 30, 2021	CPUOpenAI Gym	CodeCode Available	1
Deep Reinforcement Learning for Resource Allocation in Business Processes	Mar 29, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning	Mar 28, 2021	Imitation LearningPoint Cloud Registration	CodeCode Available	1
Character Controllers Using Motion VAEs	Mar 26, 2021	Continuous ControlDeep Reinforcement Learning	CodeCode Available	1
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning	Mar 26, 2021	Deep Reinforcement LearningGeneral Classification	CodeCode Available	1
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow	Mar 26, 2021	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	1
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound	Mar 26, 2021	Deep Reinforcement LearningReinforcement Learning (RL)	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