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 1701–1725 of 15113 papers

Title	Date	Tasks	Status	Hype
Reinforcement Learning with Videos: Combining Offline Observations with Interaction	Nov 12, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research	Nov 11, 2020	Reinforcement Learning (RL)	CodeCode Available	1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning	Nov 11, 2020	Deep Reinforcement LearningMotion Planning	CodeCode Available	1
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning	Nov 9, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
f-IRL: Inverse Reinforcement Learning via State Marginal Matching	Nov 9, 2020	Imitation Learningreinforcement-learning	CodeCode Available	1
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling	Nov 9, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning	Nov 9, 2020	Deep Reinforcement LearningMotion Planning	CodeCode Available	1
Drafting in Collectible Card Games via Reinforcement Learning	Nov 7, 2020	Card GamesDeep Reinforcement Learning	CodeCode Available	1
A Reinforcement Learning Approach to the Orienteering Problem with Time Windows	Nov 7, 2020	Combinatorial Optimizationreinforcement-learning	CodeCode Available	1
Learning a Decentralized Multi-arm Motion Planner	Nov 5, 2020	Motion PlanningMulti-agent Reinforcement Learning	CodeCode Available	1
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning	Nov 5, 2020	MuJoCoreinforcement-learning	CodeCode Available	1
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning	Nov 4, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Generalization to New Actions in Reinforcement Learning	Nov 3, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Self-Driving Network and Service Coordination Using Deep Reinforcement Learning	Nov 2, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning	Nov 1, 2020	Multi-Task Learningreinforcement-learning	CodeCode Available	1
Game-Theoretic Multiagent Reinforcement Learning	Nov 1, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams	Oct 31, 2020	Combinatorial Optimizationreinforcement-learning	CodeCode Available	1
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning	Oct 31, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks	Oct 31, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning	Oct 30, 2020	Combinatorial Optimizationreinforcement-learning	CodeCode Available	1
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones	Oct 29, 2020	Contact-rich Manipulationreinforcement-learning	CodeCode Available	1
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning	Oct 29, 2020	Knowledge Base Question AnsweringMeta Reinforcement Learning	CodeCode Available	1
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning	Oct 27, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Succinct and Robust Multi-Agent Communication With Temporal Message Control	Oct 27, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning	Oct 27, 2020	Deep Reinforcement Learningreinforcement-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