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 1711–1720 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
Procedural generation of meta-reinforcement learning tasks	Feb 11, 2023	Meta-LearningMeta Reinforcement Learning	CodeCode Available	1	5
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning	Sep 22, 2021	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	1	5
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks	Oct 29, 2024	MambaReinforcement Learning (RL)	CodeCode Available	1	5
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization	May 19, 2021	Reinforcement Learning (RL)	CodeCode Available	1	5
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems	Mar 14, 2021	ManagementModel Predictive 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
Harnessing Discrete Representations For Continual Reinforcement Learning	Dec 2, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Policy Gradient RL Algorithms as Directed Acyclic Graphs	Dec 14, 2020	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation	Nov 3, 2023	Reinforcement Learning (RL)	CodeCode Available	1	5
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics	Apr 8, 2022	Multi-Goal Reinforcement Learningreinforcement-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