off-policy learning

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NeurIPS 2020 Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Ranking Policy Gradient ICLR 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020 Self-Imitation Learning via Generalized Lower Bound Q-learning NeurIPS 2020 Semantic Visual Navigation by Watching YouTube Videos NeurIPS 2020 SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards ICLR 2020 Statistically Efficient Off-Policy Policy Gradients ICML 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CoRL 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019 Assumed Density Filtering Q-learning IJCAI 2019 A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019 A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NeurIPS 2019 Batch Policy Learning under Constraints ICML 2019 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019 DHER: Hindsight Experience Replay for Dynamic Goals ICLR 2019