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 1026–1050 of 15113 papers

Title	Date	Tasks	Status	Hype
Unified Automatic Control of Vehicular Systems with Reinforcement Learning	Jul 30, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning	Jul 29, 2022	Contrastive LearningDeep Reinforcement Learning	CodeCode Available	1
Lifelong Machine Learning of Functionally Compositional Structures	Jul 25, 2022	BIG-bench Machine LearningContinual Learning	CodeCode Available	1
Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts	Jul 24, 2022	Deep Reinforcement LearningHumanoid Control	CodeCode Available	1
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning	Jul 23, 2022	Inductive BiasNetHack	CodeCode Available	1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving	Jul 23, 2022	Autonomous Drivingreinforcement-learning	CodeCode Available	1
Robust Knowledge Adaptation for Dynamic Graph Neural Networks	Jul 22, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design	Jul 21, 2022	Deep Reinforcement LearningManagement	CodeCode Available	1
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations	Jul 20, 2022	Imitation LearningOffline RL	CodeCode Available	1
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model	Jul 20, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning	Jul 19, 2022	Causal Discoveryreinforcement-learning	CodeCode Available	1
Bayesian Generational Population-Based Training	Jul 19, 2022	Bayesian OptimizationReinforcement Learning (RL)	CodeCode Available	1
A Meta-Reinforcement Learning Algorithm for Causal Discovery	Jul 18, 2022	Causal DiscoveryMeta Reinforcement Learning	CodeCode Available	1
Active Exploration for Inverse Reinforcement Learning	Jul 18, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Asset Allocation: From Markowitz to Deep Reinforcement Learning	Jul 14, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A General Contextualized Rewriting Framework for Text Summarization	Jul 13, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning	Jul 12, 2022	Lifelong learningPolicy Gradient Methods	CodeCode Available	1
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization	Jul 12, 2022	Diversityreinforcement-learning	CodeCode Available	1
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning	Jul 12, 2022	Disentanglementreinforcement-learning	CodeCode Available	1
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems	Jul 8, 2022	Combinatorial OptimizationQ-Learning	CodeCode Available	1
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning	Jul 8, 2022	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1
CompoSuite: A Compositional Reinforcement Learning Benchmark	Jul 8, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management	Jul 8, 2022	Managementreinforcement-learning	CodeCode Available	1
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative Object	Jul 6, 2022	Motion PlanningObject	CodeCode Available	1
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs	Jul 5, 2022	Fairnessreinforcement-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