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Deep Reinforcement Learning

Papers

Showing 101150 of 5822 papers

TitleStatusHype
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2CCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving ManeuversCode1
A Competition Winning Deep Reinforcement Learning Agent in microRTSCode1
ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic EnvironmentsCode1
A Comprehensive Survey on Self-Interpretable Neural NetworksCode1
An Application of Deep Reinforcement Learning to Algorithmic TradingCode1
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
A2C is a special case of PPOCode1
A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems DispatchCode1
Continuous Deep Q-Learning with Model-based AccelerationCode1
The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence ResearchCode1
An Introduction to Deep Reinforcement LearningCode1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement LearningCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement LearningCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
Action Branching Architectures for Deep Reinforcement LearningCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and SimplicityCode1
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous DrivingCode1
Cryptocurrency Portfolio Management with Deep Reinforcement LearningCode1
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agentsCode1
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning ApproachCode1
Acme: A Research Framework for Distributed Reinforcement LearningCode1
A Closer Look at Invalid Action Masking in Policy Gradient AlgorithmsCode1
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and FollowingCode1
Amortizing intractable inference in diffusion models for vision, language, and controlCode1
Learning Multi-Pursuit Evasion for Safe Targeted Navigation of DronesCode1
A multi-agent reinforcement learning model of common-pool resource appropriationCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Continuous control with deep reinforcement learningCode1
Data-Efficient Reinforcement Learning with Self-Predictive RepresentationsCode1
Chip Placement with Deep Reinforcement LearningCode1
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning PlatformCode1
CDT: Cascading Decision Trees for Explainable Reinforcement LearningCode1
AllenAct: A Framework for Embodied AI ResearchCode1
Character Controllers Using Motion VAEsCode1
CARL: Controllable Agent with Reinforcement Learning for Quadruped LocomotionCode1
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement LearningCode1
Catalyst.RL: A Distributed Framework for Reproducible RL ResearchCode1
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban DrivingCode1
Building a 3-Player Mahjong AI using Deep Reinforcement LearningCode1
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?Code1
Training a Resilient Q-Network against Observational InterferenceCode1
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