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 1161–1170 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem	Jun 30, 2017	Deep Reinforcement LearningManagement	CodeCode Available	1	5
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop	Jul 20, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Action Branching Architectures for Deep Reinforcement Learning	Nov 24, 2017	continuous-controlContinuous Control	CodeCode Available	1	5
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation	Sep 25, 2023	Reinforcement Learning (RL)	CodeCode Available	1	5
Bayesian Generational Population-Based Training	Jul 19, 2022	Bayesian OptimizationReinforcement Learning (RL)	CodeCode Available	1	5
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning	Sep 21, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Efficient Risk-Averse Reinforcement Learning	May 10, 2022	Autonomous Drivingreinforcement-learning	CodeCode Available	1	5
Efficient Wasserstein Natural Gradients for Reinforcement Learning	Oct 12, 2020	Policy Gradient Methodsreinforcement-learning	CodeCode Available	1	5
Emergent collective intelligence from massive-agent cooperation and competition	Jan 4, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs	Jul 24, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available	1	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