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Policy Learning

2068 directly classified papers

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Papers

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020
Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Variational Adversarial Kernel Learned Imitation Learning AAAI 2020
Deep Conservative Policy Iteration AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
How Should an Agent Practice? AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020
Reinforcement Learning with Non-Markovian Rewards AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning AAAI 2020
Gradient-Aware Model-Based Policy Search AAAI 2020
Deterministic Value-Policy Gradients AAAI 2020
No-regret Exploration in Contextual Reinforcement Learning UAI 2020
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior JMLR 2020
Importance Sampling Techniques for Policy Optimization JMLR 2020
Expected Policy Gradients for Reinforcement Learning JMLR 2020