continuous control

Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 TAAC: Temporally Abstract Actor-Critic for Continuous Control NeurIPS 2021 Tactical Optimism and Pessimism for Deep Reinforcement Learning NeurIPS 2021 Towards tractable optimism in model-based reinforcement learning UAI 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021 An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search NeurIPS 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Stochastic Derivative Free Optimization Method with Momentum ICLR 2020 Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020 CAQL: Continuous Action Q-Learning ICLR 2020 CoMic: Complementary Task Learning & Mimicry for Reusable Skills ICML 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Cooperative Heterogeneous Deep Reinforcement Learning NeurIPS 2020 Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control CoRL 2020 Deterministic Value-Policy Gradients AAAI 2020 Discretizing Continuous Action Space for On-Policy Optimization AAAI 2020 Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020 Dual Policy Distillation IJCAI 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020