off-policy learning

Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Divergence-Augmented Policy Optimization NeurIPS 2019 Dynamic Experience Replay CoRL 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019 Experience Replay for Continual Learning NeurIPS 2019 Experience Replay Optimization IJCAI 2019 Generalized Off-Policy Actor-Critic NeurIPS 2019 Guided Meta-Policy Search NeurIPS 2019 Learning Reward Machines for Partially Observable Reinforcement Learning NeurIPS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Making Deep Q-learning methods robust to time discretization ICML 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NeurIPS 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search ICLR 2019 An Inference-Based Policy Gradient Method for Learning Options ICML 2018 An Off-policy Policy Gradient Theorem Using Emphatic Weightings NeurIPS 2018 Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation CoRL 2018 Convergent Tree Backup and Retrace with Function Approximation ICML 2018