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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 811–820 of 15113 papers

Title	Date	Tasks	Status	Hype
Active Inference for Stochastic Control	Aug 27, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Dropout Q-Functions for Doubly Efficient Reinforcement Learning	Oct 5, 2021	Computational EfficiencyQ-Learning	CodeCode Available	1
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime	May 28, 2024	BenchmarkingReinforcement Learning (RL)	CodeCode Available	1
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training	Apr 13, 2025	Reinforcement Learning (RL)	CodeCode Available	1
Constrained Variational Policy Optimization for Safe Reinforcement Learning	Jan 28, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control	Sep 9, 2020	continuous-controlContinuous Control	CodeCode Available	1
Contextualize Me -- The Case for Context in Reinforcement Learning	Feb 9, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Continuous-Time Model-Based Reinforcement Learning	Feb 9, 2021	modelModel-based Reinforcement Learning	CodeCode Available	1
EDGE: Explaining Deep Reinforcement Learning Policies	Dec 1, 2021	Deep Reinforcement LearningMuJoCo	CodeCode Available	1
Conservative Offline Distributional Reinforcement Learning	Jul 12, 2021	D4RLDistributional 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