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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 2231–2240 of 15113 papers

Title	Date	Tasks	Status	Hype
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning	Mar 20, 2017	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Evolution Strategies as a Scalable Alternative to Reinforcement Learning	Mar 10, 2017	Atari GamesMuJoCo	CodeCode Available	1
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	Mar 9, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	1
Robust Adversarial Reinforcement Learning	Mar 8, 2017	Frictionreinforcement-learning	CodeCode Available	1
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation	Mar 1, 2017	continuous-controlContinuous Control	CodeCode Available	1
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning	Feb 28, 2017	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Multi-agent Reinforcement Learning in Sequential Social Dilemmas	Feb 10, 2017	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
An Alternative Softmax Operator for Reinforcement Learning	Dec 16, 2016	Decision Makingreinforcement-learning	CodeCode Available	1
Cryptocurrency Portfolio Management with Deep Reinforcement Learning	Dec 5, 2016	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Self-critical Sequence Training for Image Captioning	Dec 2, 2016	Image CaptioningPolicy Gradient Methods	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