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

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Showing 1191–1200 of 15113 papers

Title	Date	Tasks	Status	Hype
Concise Reasoning via Reinforcement Learning	Apr 7, 2025	reinforcement-learningReinforcement Learning	CodeCode Available	1
Decoupling Strategy and Generation in Negotiation Dialogues	Aug 29, 2018	reinforcement-learningReinforcement Learning	CodeCode Available	1
Deep Active Inference for Partially Observable MDPs	Sep 8, 2020	Deep Reinforcement LearningQ-Learning	CodeCode Available	1
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks	Sep 14, 2020	Deep Reinforcement Learningreinforcement-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 Implicit Coordination Graphs for Multi-agent Reinforcement Learning	Jun 19, 2020	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards	Jun 18, 2022	Computational EfficiencyDemand Forecasting	CodeCode Available	1
Deep Laplacian-based Options for Temporally-Extended Exploration	Jan 26, 2023	Reinforcement Learning (RL)	CodeCode Available	1
Approximate information state for approximate planning and reinforcement learning in partially observed systems	Oct 17, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS	Oct 26, 2019	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