Planning

Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 Pushing It Out of the Way: Interactive Visual Navigation CVPR 2021 Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges IJCAI 2021 Quantitative Day Trading from Natural Language using Reinforcement Learning NAACL 2021 Rapid Task-Solving in Novel Environments ICLR 2021 Reconciling Rewards with Predictive State Representations IJCAI 2021 Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks NeurIPS 2021 Regstar: efficient strategy synthesis for adversarial patrolling games UAI 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021 Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021 Revisiting Dominance Pruning in Decoupled Search AAAI 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression CVPR 2021 Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions CoRL 2021 Safe Policies for Factored Partially Observable Stochastic Games RSS 2021 Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021 Sampling-Based Motion Planning on Sequenced Manifolds RSS 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Segmenting Hybrid Trajectories using Latent ODEs ICML 2021 Self-Improved Retrosynthetic Planning ICML 2021 Semantic Abstraction-Guided Motion Planning for scLTL Missions in Unknown Environments RSS 2021