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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Navigating to the Best Policy in Markov Decision Processes NIPS 2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NIPS 2021
Coordinated Proximal Policy Optimization NIPS 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NIPS 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NIPS 2021
Robust Predictable Control NIPS 2021
MobILE: Model-Based Imitation Learning From Observation Alone NIPS 2021
Stabilizing Dynamical Systems via Policy Gradient Methods NIPS 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls NIPS 2021
Implicit Behavioral Cloning CORL 2021
Learning Feasibility to Imitate Demonstrators with Different Dynamics CORL 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning CORL 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CORL 2021
A Constrained Multi-Objective Reinforcement Learning Framework CORL 2021
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CORL 2021
Specializing Versatile Skill Libraries using Local Mixture of Experts CORL 2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences CORL 2021
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CORL 2021
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CORL 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021
Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021
Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021