reinforcement learning

Off-Policy Evaluation in Partially Observable Environments AAAI 2020 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control ICML 2020 One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL NeurIPS 2020 Online Data Poisoning Attacks L4DC 2020 Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 On the Weaknesses of Reinforcement Learning for Neural Machine Translation ICLR 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments AAAI 2020 Optimistic Exploration even with a Pessimistic Initialisation ICLR 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020 Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020 Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020 PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation CVPR 2020 PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CoRL 2020 Planning to Explore via Self-Supervised World Models ICML 2020 Playing Atari with Six Neurons (Extended Abstract) IJCAI 2020 Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP ICLR 2020 Policy Improvement via Imitation of Multiple Oracles NeurIPS 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020