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Policy Learning

2068 directly classified papers

Papers per year

Papers

Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CORL 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion CORL 2022
On the (In)Tractability of Reinforcement Learning for LTL Objectives IJCAI 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification NIPS 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes CORL 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022
Efficient Risk-Averse Reinforcement Learning NIPS 2022
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NIPS 2022
Model-Based Offline Planning with Trajectory Pruning IJCAI 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022
Divergence-Regularized Multi-Agent Actor-Critic ICML 2022
Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022
Do Differentiable Simulators Give Better Policy Gradients? ICML 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NIPS 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NIPS 2022
Data augmentation for efficient learning from parametric experts NIPS 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NIPS 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning NIPS 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning NIPS 2022
Exponential Family Model-Based Reinforcement Learning via Score Matching NIPS 2022
Robust Anytime Learning of Markov Decision Processes NIPS 2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity CORL 2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation NIPS 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies NIPS 2022