Policy Learning

Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020 Learning the Globally Optimal Distributed LQ Regulator L4DC 2020 Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation CoRL 2020 Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes NeurIPS 2020 Learning to Generalize for Sequential Decision Making EMNLP 2020 Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020 Learning to Score Behaviors for Guided Policy Optimization ICML 2020 Learning to search efficiently for causally near-optimal treatments NeurIPS 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NeurIPS 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NeurIPS 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NeurIPS 2020 Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning ICLR 2020 Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NeurIPS 2020 Meta-Gradient Reinforcement Learning with an Objective Discovered Online NeurIPS 2020 Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020 Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020 Model-Augmented Actor-Critic: Backpropagating through Paths ICLR 2020 Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal COLT 2020