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 2101–2125 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research	May 21, 2024	Reinforcement Learning (RL)	CodeCode Available	1	5
Causal Influence Detection for Improving Efficiency in Reinforcement Learning	Jun 7, 2021	reinforcement-learningReinforcement 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
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning	Oct 8, 2020	Reinforcement Learning (RL)Transfer Learning	CodeCode Available	1	5
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning	May 2, 2022	Data AugmentationQ-Learning	CodeCode Available	1	5
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings	Aug 15, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
CDT: Cascading Decision Trees for Explainable Reinforcement Learning	Nov 15, 2020	Deep Reinforcement LearningExplainable Models	CodeCode Available	1	5
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning	Jun 4, 2021	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1	5
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach	Sep 19, 2022	Bilevel OptimizationContinual Learning	CodeCode Available	1	5
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning	Apr 3, 2020	Deep LearningDeep Reinforcement Learning	CodeCode Available	1	5
Is Q-learning Provably Efficient?	Jul 10, 2018	Q-LearningReinforcement Learning	CodeCode Available	1	5
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN	Apr 24, 2020	Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1	5
Blockchain Framework for Artificial Intelligence Computation	Feb 23, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization	Oct 3, 2022	Decision MakingPolicy Gradient Methods	CodeCode Available	1	5
Addressing Function Approximation Error in Actor-Critic Methods	Feb 26, 2018	Continuous ControlOpenAI Gym	CodeCode Available	1	5
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes	Oct 12, 2021	Offline RLReinforcement Learning (RL)	CodeCode Available	1	5
Challenges for Reinforcement Learning in Quantum Circuit Design	Dec 18, 2023	Quantum Machine Learningreinforcement-learning	CodeCode Available	1	5
Iterative Amortized Policy Optimization	Oct 20, 2020	continuous-controlContinuous Control	CodeCode Available	1	5
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery	Feb 1, 2022	Contrastive LearningDiversity	CodeCode Available	1	5
Challenges of Real-World Reinforcement Learning	Apr 29, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress	Jun 3, 2022	Atari GamesHumanoid Control	CodeCode Available	1	5
Character Controllers Using Motion VAEs	Mar 26, 2021	Continuous ControlDeep Reinforcement Learning	CodeCode Available	1	5
Chip Placement with Deep Reinforcement Learning	Apr 22, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems	Feb 11, 2022	Recommendation Systemsreinforcement-learning	CodeCode Available	1	5
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning	Jun 10, 2024	Atari GamesReinforcement Learning (RL)	CodeCode Available	1	5

Show:10 25 50

← PrevPage 85 of 605Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified