manjunath5496/Sim-2-Real-Papers

"Those who cannot remember the past are condemned to compute it."― Steven Pinker

Sim 2 Real Papers

• Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
• Sim-to-Real Robot Learning from Pixels with Progressive Nets
• Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
• Asymmetric Actor Critic for Image-Based Robot Learning
• Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
• Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
• Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
• Scaling simulation-to-real transfer by learning composable robot skills
• Sim-to-Real Transfer of Bolting Tasks with Tight Tolerance
• Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
• Reducing the Sim-to-Real Gap for Event Cameras
• CycleGAN for sim2real Domain Adaptation
• Reinforced Grounded Action Transformation for Sim-to-Real Transfer
• Blind Spot Detection for Safe Sim-to-Real Transfer
• VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
• RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
• Sim-to-Real Transfer for Biped Locomotion
• Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
• Are You Living In A Computer Simulation?
• Sim-to-real Transferable Object Classification through Touch-based Continuum Manipulation
• SimRobot – A General Physical Robot Simulator and its Application in RoboCup
• Similarity Estimation Techniques from Rounding Algorithms
• Reducing the Sim-to-Real Gap for Event Cameras
• SIM cards for cellular networks: An introduction to SIM card application development
• Scalable sim-to-real transfer of soft robot designs
• Sim2real transfer learning for 3D human pose estimation: motion to the rescue
• Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
• Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization
• Rapid Object Detection using a Boosted Cascade of Simple Features