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 1221–1230 of 15113 papers

Title	Date	Tasks	Status	Hype
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
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning	Oct 24, 2022	Data Augmentationreinforcement-learning	CodeCode Available	1
CommonPower: A Framework for Safe Data-Driven Smart Grid Control	Jun 5, 2024	Benchmarkingenergy management	CodeCode Available	1
Visual Grounding for Object-Level Generalization in Reinforcement Learning	Aug 4, 2024	Language ModellingObject	CodeCode Available	1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning	Jun 2, 2022	Partially Observable 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

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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