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Policy Learning

2068 directly classified papers

Papers per year

Papers

Offline Model-based Adaptable Policy Learning NIPS 2021
On the Expressivity of Markov Reward NIPS 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation NIPS 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
Curriculum Offline Imitating Learning NIPS 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
Imitation with Neural Density Models NIPS 2021
Offline RL Without Off-Policy Evaluation NIPS 2021
Adaptable Agent Populations via a Generative Model of Policies NIPS 2021
Information Directed Reward Learning for Reinforcement Learning NIPS 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching CVPR 2021
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL AISTATS 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NIPS 2021
A Universal 2-state n-action Adaptive Management Solver AAAI 2021
Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021
Policy Optimization as Online Learning with Mediator Feedback AAAI 2021
Meta-Model-Based Meta-Policy Optimization ACML 2021
Cautious Actor-Critic ACML 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021
Language Representations for Generalization in Reinforcement Learning ACML 2021
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021