continuous control

Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Sequence Model Imitation Learning with Unobserved Contexts NeurIPS 2022 Skill-based Meta-Reinforcement Learning ICLR 2022 TaSIL: Taylor Series Imitation Learning NeurIPS 2022 Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL UAI 2022 Temporal Difference Learning for Model Predictive Control ICML 2022 Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk IJCAI 2022 Transformers are Meta-Reinforcement Learners ICML 2022 Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NeurIPS 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NeurIPS 2022 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 Deep Coherent Exploration for Continuous Control ICML 2021 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021 Emotional Prosody Control for Speech Generation Interspeech 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning ICLR 2021 Hyperparameter Selection for Imitation Learning ICML 2021 Imitation by Predicting Observations ICML 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Iterative Amortized Policy Optimization NeurIPS 2021 Keyframe-Focused Visual Imitation Learning ICML 2021 Learning and Planning in Complex Action Spaces ICML 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021