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 1991–2000 of 15113 papers

Title	Date	Tasks	Status	Hype
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings	Nov 25, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning	Jul 4, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs	Feb 23, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
CommonPower: A Framework for Safe Data-Driven Smart Grid Control	Jun 5, 2024	Benchmarkingenergy management	CodeCode Available	1
Spatial-temporal recurrent reinforcement learning for autonomous ships	Nov 2, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective	May 11, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Bayesian Generational Population-Based Training	Jul 19, 2022	Bayesian OptimizationReinforcement Learning (RL)	CodeCode Available	1
SplAgger: Split Aggregation for Meta-Reinforcement Learning	Mar 5, 2024	continuous-controlContinuous Control	CodeCode Available	1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem	Dec 8, 2020	Combinatorial OptimizationQ-Learning	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep 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