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 351–375 of 15113 papers

Title	Date	Tasks	Status	Hype
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation	Jun 24, 2021	MuJoCoOpenAI Gym	CodeCode Available	2
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning	Jun 11, 2021	Card GamesDeep Reinforcement Learning	CodeCode Available	2
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning	Jun 4, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	2
AndroidEnv: A Reinforcement Learning Platform for Android	May 27, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	2
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning	Apr 20, 2021	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	2
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control	Apr 5, 2021	Imitation LearningReinforcement Learning (RL)	CodeCode Available	2
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control	Mar 3, 2021	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	2
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching	Dec 16, 2020	Combinatorial OptimizationDecision Making	CodeCode Available	2
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning	Dec 16, 2020	Model-based Reinforcement LearningPrediction	CodeCode Available	2
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving	Oct 19, 2020	Autonomous DrivingMulti-agent Reinforcement Learning	CodeCode Available	2
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences	Oct 19, 2020	BIG-bench Machine LearningReinforcement Learning (RL)	CodeCode Available	2
PettingZoo: Gym for Multi-Agent Reinforcement Learning	Sep 30, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	2
Decoupling Representation Learning from Reinforcement Learning	Sep 14, 2020	Data AugmentationDeep Reinforcement Learning	CodeCode Available	2
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV	Sep 3, 2020	Edge-computingManagement	CodeCode Available	2
Flightmare: A Flexible Quadrotor Simulator	Sep 1, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	2
Aligning AI With Shared Human Values	Aug 5, 2020	Ethicsreinforcement-learning	CodeCode Available	2
Smooth Exploration for Robotic Reinforcement Learning	May 12, 2020	continuous-controlContinuous Control	CodeCode Available	2
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget	Apr 24, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	2
D4RL: Datasets for Deep Data-Driven Reinforcement Learning	Apr 15, 2020	D4RLOffline RL	CodeCode Available	2
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data Science	Mar 26, 2020	ArticlesAsset Management	CodeCode Available	2
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods	Mar 25, 2020	Distributed ComputingReinforcement Learning	CodeCode Available	2
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	Mar 19, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	2
Neuroevolution of Self-Interpretable Agents	Mar 18, 2020	Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	2
Leveraging Procedural Generation to Benchmark Reinforcement Learning	Dec 3, 2019	Procgen Hard (100M)reinforcement-learning	CodeCode Available	2
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction	Oct 29, 2019	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	2

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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