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 1301–1325 of 15113 papers

Title	Date	Tasks	Status	Hype
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach	Jan 31, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Efficient Reinforcement Learning Through Trajectory Generation	Nov 30, 2022	LEMMAOffline RL	CodeCode Available	1
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking	Sep 15, 2022	OpenAI Gymreinforcement-learning	CodeCode Available	1
Efficient Wasserstein Natural Gradients for Reinforcement Learning	Oct 12, 2020	Policy Gradient Methodsreinforcement-learning	CodeCode Available	1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS	Oct 26, 2019	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks	Jun 14, 2020	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning	Mar 8, 2021	CPUreinforcement-learning	CodeCode Available	1
An Experimental Design Perspective on Model-Based Reinforcement Learning	Dec 9, 2021	continuous-controlContinuous Control	CodeCode Available	1
A Crash Course on Reinforcement Learning	Mar 8, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Embodied Synaptic Plasticity with Online Reinforcement learning	Mar 3, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations	Sep 17, 2020	Evolutionary AlgorithmsReinforcement Learning (RL)	CodeCode Available	1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas	Jun 1, 2020	MinecraftMulti-Task Learning	CodeCode Available	1
End-to-End Affordance Learning for Robotic Manipulation	Sep 26, 2022	Reinforcement Learning (RL)	CodeCode Available	1
Are Expressive Models Truly Necessary for Offline RL?	Dec 15, 2024	D4RLOffline RL	CodeCode Available	1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning	Jul 17, 2024	MuJoCoreinforcement-learning	CodeCode Available	1
Energy Pricing in P2P Energy Systems Using Reinforcement Learning	Oct 24, 2022	reinforcement-learningReinforcement 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
Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars	Dec 5, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation	Sep 25, 2023	Reinforcement Learning (RL)	CodeCode Available	1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs	Feb 23, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning	Jun 19, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging	Nov 17, 2020	Autonomous DrivingModel Predictive Control	CodeCode Available	1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings	Nov 25, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep 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