← Applications
Reinforcement Learning › Applications ›

Robotics

2069 directly classified papers

Papers per year

Papers

Progress & Compress: A scalable framework for continual learning ICML 2018
Interactive Robot Transition Repair With SMT IJCAI 2018
Self-Adaptive Double Bootstrapped DDPG IJCAI 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
Time Limits in Reinforcement Learning ICML 2018
End-to-end Active Object Tracking via Reinforcement Learning ICML 2018
Clipped Action Policy Gradient ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
Automatic Goal Generation for Reinforcement Learning Agents ICML 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization ICML 2018
Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Self-Imitation Learning ICML 2018
Policy Optimization with Demonstrations ICML 2018
Analytical Derivatives of Rigid Body Dynamics Algorithms RSS 2018
Recurrent Predictive State Policy Networks ICML 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018
Experience Selection in Deep Reinforcement Learning for Control JMLR 2018
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning IJCAI 2018
Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018
A Variable Stiffness Gripper with Antagonistic Magnetic Springs for Enhancing Manipulation RSS 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018