Applications

Conservative State Value Estimation for Offline Reinforcement Learning NeurIPS 2023 Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area CoRL 2023 Continual Vision-based Reinforcement Learning with Group Symmetries CoRL 2023 Continuous-Time Decision Transformer for Healthcare Applications AISTATS 2023 Continuous Versatile Jumping Using Learned Action Residuals L4DC 2023 Controllability-Aware Unsupervised Skill Discovery ICML 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Conversational Tree Search: A New Hybrid Dialog Task EACL 2023 Convex-Concave Zero-Sum Markov Stackelberg Games NeurIPS 2023 Convex Reinforcement Learning in Finite Trials JMLR 2023 COOM: A Game Benchmark for Continual Reinforcement Learning NeurIPS 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 Co-optimization of Morphology and Behavior of Modular Robots via Hierarchical Deep Reinforcement Learning RSS 2023 CQM: Curriculum Reinforcement Learning with a Quantized World Model NeurIPS 2023 Cross-Episodic Curriculum for Transformer Agents NeurIPS 2023 Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks CoRL 2023 Data Quality in Imitation Learning NeurIPS 2023 DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control CoRL 2023 Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy CoRL 2023 Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023 Deep Off-Policy Iterative Learning Control L4DC 2023 Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023 Deep Reinforcement Learning with Plasticity Injection NeurIPS 2023 Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023 Demonstrating Arena-Web: A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches RSS 2023