Methods

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020 On Reward-Free Reinforcement Learning with Linear Function Approximation NeurIPS 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 On the Convergence of Smooth Regularized Approximate Value Iteration Schemes NeurIPS 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 On the Global Convergence Rates of Softmax Policy Gradient Methods ICML 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems NeurIPS 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020 Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020 Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing ICML 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Optimistic robust linear quadratic dual control L4DC 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020 Optimizing for the Future in Non-Stationary MDPs ICML 2020 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020 Option Discovery in the Absence of Rewards with Manifold Analysis ICML 2020 OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning ICML 2020 Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 “Other-Play” for Zero-Shot Coordination ICML 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020 Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020 Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020