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 1976–2000 of 15113 papers

Title	Date	Tasks	Status	Hype
Compile Scene Graphs with Reinforcement Learning	Apr 18, 2025	reinforcement-learningReinforcement Learning	CodeCode Available	1
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions	Jun 9, 2025	Reinforcement Learning (RL)	CodeCode Available	1
Skill-Based Reinforcement Learning with Intrinsic Reward Matching	Oct 14, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning	May 9, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching	Feb 4, 2022	Imitation LearningReinforcement Learning (RL)	CodeCode Available	1
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments	Jun 17, 2022	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Constrained Update Projection Approach to Safe Policy Optimization	Sep 15, 2022	Reinforcement Learning (RL)Safe Reinforcement Learning	CodeCode Available	1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning	Jul 29, 2022	Contrastive LearningDeep Reinforcement Learning	CodeCode Available	1
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control	Feb 16, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop	Jul 20, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Soft Hindsight Experience Replay	Feb 6, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning	Nov 4, 2018	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning	Sep 9, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Solving Compositional Reinforcement Learning Problems via Task Reduction	Mar 13, 2021	continuous-controlContinuous Control	CodeCode Available	1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings	Nov 25, 2020	Deep Reinforcement LearningModel-based Reinforcement Learning	CodeCode Available	1
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning	Jul 4, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs	Feb 23, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
CommonPower: A Framework for Safe Data-Driven Smart Grid Control	Jun 5, 2024	Benchmarkingenergy management	CodeCode Available	1
Spatial-temporal recurrent reinforcement learning for autonomous ships	Nov 2, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective	May 11, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Bayesian Generational Population-Based Training	Jul 19, 2022	Bayesian OptimizationReinforcement Learning (RL)	CodeCode Available	1
SplAgger: Split Aggregation for Meta-Reinforcement Learning	Mar 5, 2024	continuous-controlContinuous Control	CodeCode Available	1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem	Dec 8, 2020	Combinatorial OptimizationQ-Learning	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep 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