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Policy Learning

2068 directly classified papers

Papers per year

Papers

Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021
Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Explicable Reward Design for Reinforcement Learning Agents NIPS 2021
Policy Learning Using Weak Supervision NIPS 2021
Bridging the Imitation Gap by Adaptive Insubordination NIPS 2021
Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021
Reinforcement learning for optimization of variational quantum circuit architectures NIPS 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs NIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NIPS 2021
The Logical Options Framework ICML 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity NIPS 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NIPS 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NIPS 2021
Settling the Variance of Multi-Agent Policy Gradients NIPS 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NIPS 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals AAAI 2021