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 1201–1225 of 15113 papers

Title	Date	Tasks	Status	Hype
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm	Feb 3, 2022	AttributeManagement	CodeCode Available	1
Optimizing Sequential Experimental Design with Deep Reinforcement Learning	Feb 2, 2022	Deep Reinforcement LearningExperimental Design	CodeCode Available	1
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies	Feb 1, 2022	Deep Reinforcement LearningManagement	CodeCode Available	1
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery	Feb 1, 2022	Contrastive LearningDiversity	CodeCode Available	1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning	Jan 31, 2022	DiversityOffline RL	CodeCode Available	1
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach	Jan 31, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search	Jan 30, 2022	Neural Architecture SearchReinforcement Learning (RL)	CodeCode Available	1
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments	Jan 30, 2022	Autonomous VehiclesDecision Making	CodeCode Available	1
Towards Safe Reinforcement Learning with a Safety Editor Policy	Jan 28, 2022	2kreinforcement-learning	CodeCode Available	1
Mask-based Latent Reconstruction for Reinforcement Learning	Jan 28, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Constrained Variational Policy Optimization for Safe Reinforcement Learning	Jan 28, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Can Wikipedia Help Offline Reinforcement Learning?	Jan 28, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Pearl: Parallel Evolutionary and Reinforcement Learning Library	Jan 24, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Constrained Policy Optimization via Bayesian World Models	Jan 24, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning	Jan 24, 2022	Decision MakingHierarchical Reinforcement Learning	CodeCode Available	1
Goal-Conditioned Reinforcement Learning: Problems and Solutions	Jan 20, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing	Jan 20, 2022	Q-Learningreinforcement-learning	CodeCode Available	1
DROPO: Sim-to-Real Transfer with Offline Domain Randomization	Jan 20, 2022	Reinforcement Learning (RL)	CodeCode Available	1
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning	Jan 17, 2022	DecoderNavigate	CodeCode Available	1
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning	Jan 13, 2022	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning	Jan 12, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Jan 11, 2022	Multi-Task LearningReinforcement Learning (RL)	CodeCode Available	1
Verified Probabilistic Policies for Deep Reinforcement Learning	Jan 10, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Mirror Learning: A Unifying Framework of Policy Optimisation	Jan 7, 2022	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
SABLAS: Learning Safe Control for Black-box Dynamical Systems	Jan 6, 2022	Reinforcement 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