continuous control

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NeurIPS 2023 CFlowNets: Continuous Control with Generative Flow Networks ICLR 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning ICLR 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 Cross-Episodic Curriculum for Transformer Agents NeurIPS 2023 Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning ICLR 2023 Discovering Evolution Strategies via Meta-Black-Box Optimization ICLR 2023 Double Gumbel Q-Learning NeurIPS 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 FlowPG: Action-constrained Policy Gradient with Normalizing Flows NeurIPS 2023 For SALE: State-Action Representation Learning for Deep Reinforcement Learning NeurIPS 2023 Guarded Policy Optimization with Imperfect Online Demonstrations ICLR 2023 Guiding Safe Exploration with Weakest Preconditions ICLR 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Imitation Learning As State Matching via Differentiable Physics CVPR 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Inverse Reinforcement Learning without Reinforcement Learning ICML 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NeurIPS 2023 Latent State Marginalization as a Low-cost Approach for Improving Exploration ICLR 2023 Learning Control by Iterative Inversion ICML 2023 Learning to Discover Skills through Guidance NeurIPS 2023