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Robotics

2069 directly classified papers

Papers per year

Papers

TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search NIPS 2020
MOPO: Model-based Offline Policy Optimization NIPS 2020
Deep Inverse Q-learning with Constraints NIPS 2020
See, Hear, Explore: Curiosity via Audio-Visual Association NIPS 2020
First Order Constrained Optimization in Policy Space NIPS 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NIPS 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks NIPS 2020
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information NIPS 2020
Safe Reinforcement Learning via Curriculum Induction NIPS 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework NIPS 2020
Automatic Curriculum Learning through Value Disagreement NIPS 2020
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars NIPS 2020
Learning Dialog Policies from Weak Demonstrations ACL 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals NIPS 2020
Unknown mixing times in apprenticeship and reinforcement learning UAI 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot L4DC 2020
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects AAAI 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NIPS 2020
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019
Fake It Till You Make It: Learning-Compatible Performance Support UAI 2019
Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019
Learning Navigation Subroutines from Egocentric Videos CORL 2019
Self-Paced Contextual Reinforcement Learning CORL 2019