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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Adaptable Agent Populations via a Generative Model of Policies NIPS 2021
Invariant Causal Imitation Learning for Generalizable Policies NIPS 2021
Offline RL Without Off-Policy Evaluation NIPS 2021
Imitation with Neural Density Models NIPS 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
Curriculum Offline Imitating Learning NIPS 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation NIPS 2021
On the Expressivity of Markov Reward NIPS 2021
Offline Model-based Adaptable Policy Learning NIPS 2021
Ranking Policy Decisions NIPS 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning NIPS 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems NIPS 2021
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum NIPS 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer NIPS 2021
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NIPS 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NIPS 2021
Generalized Proximal Policy Optimization with Sample Reuse NIPS 2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NIPS 2021
Identifiability in inverse reinforcement learning NIPS 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning NIPS 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NIPS 2021
Settling the Variance of Multi-Agent Policy Gradients NIPS 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NIPS 2021