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 2076–2100 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach	Sep 19, 2022	Bilevel OptimizationContinual Learning	CodeCode Available	1	5
Intrinsic Reward Driven Imitation Learning via Generative Model	Jun 26, 2020	Atari GamesImitation Learning	CodeCode Available	1	5
Is Q-learning Provably Efficient?	Jul 10, 2018	Q-LearningReinforcement Learning	CodeCode Available	1	5
An Application of Deep Reinforcement Learning to Algorithmic Trading	Apr 7, 2020	Algorithmic TradingDeep Reinforcement Learning	CodeCode Available	1	5
Bridging the Gap Between f-GANs and Wasserstein GANs	Jan 1, 2020	Density Ratio EstimationImage Generation	CodeCode Available	1	5
Benchmarking Constraint Inference in Inverse Reinforcement Learning	Jun 20, 2022	Autonomous DrivingBenchmarking	CodeCode Available	1	5
Bridging State and History Representations: Understanding Self-Predictive RL	Jan 17, 2024	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1	5
Benchmarking Batch Deep Reinforcement Learning Algorithms	Oct 3, 2019	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1	5
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning	Jul 21, 2023	BenchmarkingCombinatorial Optimization	CodeCode Available	1	5
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning	Oct 23, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1	5
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist	Aug 6, 2021	Reinforcement Learning (RL)	CodeCode Available	1	5
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints	Apr 18, 2023	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1	5
Blockchain Framework for Artificial Intelligence Computation	Feb 23, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit	Oct 3, 2022	OpenAI Gymreinforcement-learning	CodeCode Available	1	5
Can Learned Optimization Make Reinforcement Learning Less Difficult?	Jul 9, 2024	Decision MakingMeta-Learning	CodeCode Available	1	5
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware	Jan 7, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	1	5
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?	Mar 3, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available	1	5
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning	Jan 23, 2020	Autonomous DrivingDeep Reinforcement Learning	CodeCode Available	1	5
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning	Apr 18, 2021	Keyphrase Generationreinforcement-learning	CodeCode Available	1	5
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?	Dec 1, 2020	Feature EngineeringQ-Learning	CodeCode Available	1	5
Intrusion Prevention through Optimal Stopping	Oct 30, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Can Wikipedia Help Offline Reinforcement Learning?	Jan 28, 2022	Offline RLreinforcement-learning	CodeCode Available	1	5
Can Question Rewriting Help Conversational Question Answering?	Apr 13, 2022	Conversational Question AnsweringQuestion Answering	CodeCode Available	1	5
An Attentive Graph Agent for Topology-Adaptive Cyber Defence	Jan 24, 2025	Graph AttentionGraph Neural Network	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

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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