policy gradient

Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Stabilizing Dynamical Systems via Policy Gradient Methods NeurIPS 2021 Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate AAAI 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NeurIPS 2021 Towards Deeper Deep Reinforcement Learning with Spectral Normalization NeurIPS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021 When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021 A Closer Look at Deep Policy Gradients ICLR 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation ICLR 2020 A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NeurIPS 2020 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020 An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search NeurIPS 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 An operator view of policy gradient methods NeurIPS 2020 Asynchronous Coagent Networks ICML 2020 Augmenting GAIL with BC for sample efficient imitation learning CoRL 2020 Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020 BRPO: Batch Residual Policy Optimization IJCAI 2020 CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning ICLR 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 Continual Learning of Control Primitives : Skill Discovery via Reset-Games NeurIPS 2020