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 1726–1750 of 15113 papers

Title	Date	Tasks	Status	Hype
Succinct and Robust Multi-Agent Communication With Temporal Message Control	Oct 27, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning	Oct 26, 2020	ClusteringModel-based Reinforcement Learning	CodeCode Available	1
Personalised Meta-path Generation for Heterogeneous GNNs	Oct 26, 2020	Deep Reinforcement LearningGraph Representation Learning	CodeCode Available	1
MELD: Meta-Reinforcement Learning from Images via Latent State Models	Oct 26, 2020	Meta-LearningMeta Reinforcement Learning	CodeCode Available	1
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning	Oct 23, 2020	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	1
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning	Oct 23, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Learning Guidance Rewards with Trajectory-space Smoothing	Oct 23, 2020	AttributeDeep Reinforcement Learning	CodeCode Available	1
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning	Oct 23, 2020	Collision AvoidanceDeep Reinforcement Learning	CodeCode Available	1
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing	Oct 22, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning	Oct 22, 2020	Offline RLreinforcement-learning	CodeCode Available	1
Accelerating Reinforcement Learning with Learned Skill Priors	Oct 22, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach	Oct 21, 2020	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning	Oct 21, 2020	Deep Reinforcement LearningGPU	CodeCode Available	1
Improving Generalization in Reinforcement Learning with Mixture Regularization	Oct 21, 2020	Data AugmentationDeep Reinforcement Learning	CodeCode Available	1
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation	Oct 21, 2020	Data-to-Text Generationreinforcement-learning	CodeCode Available	1
Iterative Amortized Policy Optimization	Oct 20, 2020	continuous-controlContinuous Control	CodeCode Available	1
Reinforcement Learning for Optimization of COVID-19 Mitigation policies	Oct 20, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning	Oct 19, 2020	ArticlesAttribute	CodeCode Available	1
Model-based Policy Optimization with Unsupervised Model Adaptation	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
Dream and Search to Control: Latent Space Planning for Continuous Control	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
D2RL: Deep Dense Architectures in Reinforcement Learning	Oct 19, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
Approximate information state for approximate planning and reinforcement learning in partially observed systems	Oct 17, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning	Oct 16, 2020	Pose Estimationreinforcement-learning	CodeCode Available	1

Show:10 25 50

← PrevPage 70 of 605Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified