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 851–860 of 15113 papers

Title	Date	Tasks	Status	Hype
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning	Oct 11, 2022	Offline RLreinforcement-learning	CodeCode Available	1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving	May 21, 2021	Autonomous DrivingDecision Making	CodeCode Available	1
A multi-agent reinforcement learning model of common-pool resource appropriation	Jul 20, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning	Feb 6, 2024	D4RLOffline RL	CodeCode Available	1
Constrained episodic reinforcement learning in concave-convex and knapsack settings	Jun 9, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks	Oct 29, 2024	MambaReinforcement Learning (RL)	CodeCode Available	1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	Oct 9, 2020	Deep Reinforcement LearningEpidemiology	CodeCode Available	1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning	Dec 14, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning	Sep 4, 2020	Bayesian Optimizationreinforcement-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