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 1326–1350 of 15113 papers

Title	Date	Tasks	Status	Hype
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture	Oct 11, 2021	Autonomous RacingAutonomous Vehicles	CodeCode Available	1
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets	Oct 10, 2021	Decision Makingreinforcement-learning	CodeCode Available	1
MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement Learning	Oct 10, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks	Oct 7, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem	Oct 6, 2021	DecoderDeep Reinforcement Learning	CodeCode Available	1
The Information Geometry of Unsupervised Reinforcement Learning	Oct 6, 2021	Contrastive Learningreinforcement-learning	CodeCode Available	1
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL	Oct 6, 2021	modelModel-based Reinforcement Learning	CodeCode Available	1
Replay-Guided Adversarial Environment Design	Oct 6, 2021	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Multi-Agent Constrained Policy Optimisation	Oct 6, 2021	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning	Oct 5, 2021	Physical Simulationsreinforcement-learning	CodeCode Available	1
Dropout Q-Functions for Doubly Efficient Reinforcement Learning	Oct 5, 2021	Computational EfficiencyQ-Learning	CodeCode Available	1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values	Oct 4, 2021	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble	Oct 4, 2021	Adroid door-clonedAdroid door-human	CodeCode Available	1
Large Batch Experience Replay	Oct 4, 2021	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Offline Reinforcement Learning with Reverse Model-based Imagination	Oct 1, 2021	Data Augmentationmodel	CodeCode Available	1
Scalable Online Planning via Reinforcement Learning Fine-Tuning	Sep 30, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
MOLUCINATE: A Generative Model for Molecules in 3D Space	Sep 30, 2021	Positionreinforcement-learning	CodeCode Available	1
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning	Sep 30, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization	Sep 29, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Know Your Action Set: Learning Action Relations for Reinforcement Learning	Sep 29, 2021	Graph AttentionRecommendation Systems	CodeCode Available	1
Offline Reinforcement Learning with In-sample Q-Learning	Sep 29, 2021	D4RLOffline RL	CodeCode Available	1
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning	Sep 29, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1
Learning of Parameters in Behavior Trees for Movement Skills	Sep 27, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving	Sep 26, 2021	Autonomous Drivingreinforcement-learning	CodeCode Available	1
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms	Sep 25, 2021	OpenAI Gymreinforcement-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