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Policy Learning

2,076 papers

Papers per year

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216
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Papers

Policy learning in SE(3) action spaces CORL 2020
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020
Deterministic Value-Policy Gradients AAAI 2020
Lifelong Learning with a Changing Action Set AAAI 2020
Reinforcement Learning When All Actions Are Not Always Available AAAI 2020
Gradient-Aware Model-Based Policy Search AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning AAAI 2020
Reinforcement Learning with Non-Markovian Rewards AAAI 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020
Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
How Should an Agent Practice? AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020
Attentive Experience Replay AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
Discretizing Continuous Action Space for On-Policy Optimization AAAI 2020
Deep Conservative Policy Iteration AAAI 2020