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Deep Reinforcement Learning

Papers

Showing 126150 of 5822 papers

TitleStatusHype
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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