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 1941–1950 of 15113 papers

Title	Date	Tasks	Status	Hype
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation	Jul 5, 2021	continuous-controlContinuous Control	CodeCode Available	1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning	Nov 12, 2019	Combinatorial OptimizationGraph Embedding	CodeCode Available	1
SARL*: Deep Reinforcement Learning based Human-Aware Navigation for Mobile Robot in Indoor Environments	Jan 20, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards	May 25, 2025	Image CaptioningMultimodal Reasoning	CodeCode Available	1
Scalable Bayesian Inverse Reinforcement Learning	Feb 12, 2021	Bayesian InferenceImitation Learning	CodeCode Available	1
Scalable Multi-Agent Model-Based Reinforcement Learning	May 25, 2022	Mambamodel	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
Scalable Planning and Learning for Multiagent POMDPs: Extended Version	Apr 4, 2014	reinforcement-learningReinforcement Learning	CodeCode Available	1
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation	Aug 17, 2017	Atari Gamescontinuous-control	CodeCode Available	1
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games	Jul 27, 2020	Deep Reinforcement Learningreinforcement-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