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 1926–1950 of 15113 papers

Title	Date	Tasks	Status	Hype
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning	Jun 4, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows	Jun 4, 2020	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Interferobot: aligning an optical interferometer by a reinforcement learning agent	Jun 3, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas	Jun 1, 2020	MinecraftMulti-Task Learning	CodeCode Available	1
Acme: A Research Framework for Distributed Reinforcement Learning	Jun 1, 2020	Deep Reinforcement LearningDQN Replay Dataset	CodeCode Available	1
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning	Jun 1, 2020	Policy Gradient Methodsreinforcement-learning	CodeCode Available	1
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals	Jun 1, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera	May 29, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments	May 28, 2020	continuous-controlContinuous Control	CodeCode Available	1
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning	May 28, 2020	Objectreinforcement-learning	CodeCode Available	1
MOPO: Model-based Offline Policy Optimization	May 27, 2020	continuous-controlContinuous Control	CodeCode Available	1
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori Knowledge	May 26, 2020	Q-Learningreinforcement-learning	CodeCode Available	1
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO	May 25, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot	May 21, 2020	continuous-controlContinuous Control	CodeCode Available	1
Mirror Descent Policy Optimization	May 20, 2020	continuous-controlContinuous Control	CodeCode Available	1
Ultrasound Video Summarization using Deep Reinforcement Learning	May 19, 2020	Deep Reinforcement LearningDiagnostic	CodeCode Available	1
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning	May 16, 2020	Model-based Reinforcement Learningreinforcement-learning	CodeCode Available	1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning	May 14, 2020	modelModel-based Reinforcement Learning	CodeCode Available	1
Training spiking neural networks using reinforcement learning	May 12, 2020	Decision Makingreinforcement-learning	CodeCode Available	1
Planning to Explore via Self-Supervised World Models	May 12, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
MOReL : Model-Based Offline Reinforcement Learning	May 12, 2020	modelOffline RL	CodeCode Available	1
Delay-Aware Model-Based Reinforcement Learning for Continuous Control	May 11, 2020	continuous-controlContinuous Control	CodeCode Available	1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments	May 11, 2020	Autonomous VehiclesDeep Reinforcement Learning	CodeCode Available	1
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning	May 11, 2020	reinforcement-learningReinforcement Learning (RL)	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