off-policy learning

Minimax Model Learning AISTATS 2021 Non-Stationary Off-Policy Optimization AISTATS 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 Parameter-Based Value Functions ICLR 2021 Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning ICCV 2021 PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021 Reinforcement Learning with Random Delays ICLR 2021 Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021 Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning NeurIPS 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021 Solving Continuous Control with Episodic Memory IJCAI 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Structural Credit Assignment in Neural Networks using Reinforcement Learning NeurIPS 2021 Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NeurIPS 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021 TAAC: Temporally Abstract Actor-Critic for Continuous Control NeurIPS 2021 Tactical Optimism and Pessimism for Deep Reinforcement Learning NeurIPS 2021 Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic ICLR 2021 Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 An Optimistic Perspective on Offline Reinforcement Learning ICML 2020 A Self-Tuning Actor-Critic Algorithm NeurIPS 2020 Attentive Experience Replay AAAI 2020