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 1011–1020 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
DROPO: Sim-to-Real Transfer with Offline Domain Randomization	Jan 20, 2022	Reinforcement Learning (RL)	CodeCode Available	1	5
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning	Jun 19, 2020	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1	5
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control	Sep 9, 2020	continuous-controlContinuous Control	CodeCode Available	1	5
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning	Mar 9, 2021	Deep Reinforcement LearningReferring Expression	CodeCode Available	1	5
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation	Nov 20, 2022	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards	Jun 18, 2022	Computational EfficiencyDemand Forecasting	CodeCode Available	1	5
Adaptive Transformers in RL	Apr 8, 2020	Partially Observable Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Analytical Lyapunov Function Discovery: An RL-based Generative Approach	Feb 4, 2025	Reinforcement Learning (RL)valid	CodeCode Available	1	5
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions	Mar 19, 2020	Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1	5
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems	May 27, 2024	Reinforcement Learning (RL)	CodeCode Available	1	5

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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