Reinforcement Learning

Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020 Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems AAAI 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 Learning to Score Behaviors for Guided Policy Optimization ICML 2020 Learning to search efficiently for causally near-optimal treatments NeurIPS 2020 Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NeurIPS 2020 Learning to Walk in the Real World with Minimal Human Effort CoRL 2020 Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning CoRL 2020 Learning What to Defer for Maximum Independent Sets ICML 2020 Learning When and Where to Zoom With Deep Reinforcement Learning CVPR 2020 Learning with Good Feature Representations in Bandits and in RL with a Generative Model ICML 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games AAAI 2020 Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning NeurIPS 2020 Leveraging Procedural Generation to Benchmark Reinforcement Learning ICML 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 Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently ICML 2020 Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020 MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification IJCAI 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020