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 1351–1360 of 15113 papers

Title	Date	Tasks	Status	Hype
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms	Sep 25, 2021	OpenAI Gymreinforcement-learning	CodeCode Available	1
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming	Sep 24, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning	Sep 24, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation	Sep 23, 2021	Deep Reinforcement LearningNavigate	CodeCode Available	1
The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms	Sep 23, 2021	Reinforcement Learning (RL)Robotic Grasping	CodeCode Available	1
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning	Sep 23, 2021	LEMMAMuJoCo	CodeCode Available	1
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios	Sep 22, 2021	Autonomous Drivingreinforcement-learning	CodeCode Available	1
A Workflow for Offline Model-Free Robotic Reinforcement Learning	Sep 22, 2021	Offline RLreinforcement-learning	CodeCode Available	1
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning	Sep 22, 2021	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	1
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning	Sep 21, 2021	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