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 991–1000 of 15113 papers

Title	Date	Tasks	Status	Hype
Latent Plans for Task-Agnostic Offline Reinforcement Learning	Sep 19, 2022	Imitation Learningreinforcement-learning	CodeCode Available	1
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning	Sep 16, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks	Sep 16, 2022	Deep Reinforcement LearningManagement	CodeCode Available	1
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control	Sep 16, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Model-based gym environments for limit order book trading	Sep 16, 2022	Algorithmic TradingReinforcement Learning (RL)	CodeCode Available	1
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking	Sep 15, 2022	OpenAI Gymreinforcement-learning	CodeCode Available	1
Constrained Update Projection Approach to Safe Policy Optimization	Sep 15, 2022	Reinforcement Learning (RL)Safe Reinforcement Learning	CodeCode Available	1
Continuous MDP Homomorphisms and Homomorphic Policy Gradient	Sep 15, 2022	continuous-controlContinuous Control	CodeCode Available	1
Model-based Reinforcement Learning with Multi-step Plan Value Estimation	Sep 12, 2022	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting	Sep 12, 2022	Algorithmic TradingDeep Reinforcement 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