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Welcome to the Neurips "Challenges of Real-World Reinforcement Learning Workshop" poster sessions!
Each submitted paper has an associated talk & paper link. There is also a gather.town set up here: https://neurips.gather.town/app/uvje3g9tFQHEzyfJ/rwrl where you can interact directly with paper authors.
To do so, join the gather.town, and direct yourself to the zone with the poster spot written on the floor.
Watch out, the presentations are split over two sessions, with half the papers in each session, so make sure you show up at the right time for the papers you care about!
We will also be wandering around the space with "STAFF" in our name, feel free to ask us any questions :)
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Paper TitlesPoster SessionGather.town ZonePaper
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Revisiting Design Choices in Proximal Policy OptimizationTalk Link1CPDF
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Environment Shaping in Reinforcement Learning using State AbstractionTalk Link1DPDF
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Drift Detection in Episodic Data: Detect When Your Agent Starts FalteringTalk Link1EPDF
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Incorporating Healthcare Motivated Constraints in Restless Bandit Based Resource AllocationTalk Link1FPDF
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Efficient Reinforcement Learning via Self-supervised learning and Model-based methodsTalk Link1GPDF
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Model-Based Meta-Reinforcement Learning for Flight with Suspended PayloadsTalk Link1HPDF
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XT2: Training an X-to-Text Typing Interface through Online Learning from Implicit FeedbackTalk Link1IPDF
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Lyapunov Barrier Policy Optimization Talk Link1JPDF
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Exploration in two-stage recommender systemsTalk Link1KPDF
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Multi-Robot Deep Reinforcement Learning via Hierarchically Integrated ModelsTalk Link1LPDF
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Online Safety Assurance for Deep Reinforcement LearningTalk Link1MPDF
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Parrot: Data-Driven Behavioral Priors for Reinforcement LearningTalk Link1NPDF
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COG: Connecting New Skills to Past Experiences with Offline Reinforcement LearningTalk Link1OPDF
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Learning Movement Policies in Bayesian Stackelberg Markov Games for Adaptive Moving Target DefenseTalk Link1PPDF
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MaxEnt RL and Robust ControlTalk Link1QPDF
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Model-Based Reinforcement Learning via Latent-Space CollocationTalk Link1RPDF
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Policy Learning Using Weak SupervisionTalk Link1SPDF
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Handling Non-Stationary Experts in Inverse Reinforcement Learning: A Water System Control Case StudyTalk Link1TPDF
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A Bayesian Approach to Learning Bandit Structure in Markov Decision ProcessesTalk Link1UPDF
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Model-Free Robust Reinforcement Learning with Linear Function ApproximationTalk Link1VPDF
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Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLPTalk Link1WPDF
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Constrained Q-learning for Batch Process OptimizationTalk Link1XPDF
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RAIM: Reinforced Autonomous Intersection Management - AIM based on MADRLTalk Link1YPDF
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On the Optimality of Policy Gradient for Coherent RiskTalk Link2CPDF
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Deep Bayesian Quadrature Policy OptimizationTalk Link2DPDF
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Bridging the Imitation Gap by Adaptive InsubordinationTalk Link2EPDF
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Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Talk Link2FPDF
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Challenges of Applying Deep Reinforcement Learning in Dynamic DispatchingTalk Link2GPDF
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A Geometric Perspective on Self-Supervised Policy AdaptationTalk Link2HPDF
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Provable Multi-Objective Reinforcement Learning with Generative ModelsTalk Link2IPDF
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Reinforcement Learning with Bayesian Classifiers: Efficient Skill Learning from Outcome ExamplesTalk Link2JPDF
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The Act of Remembering: A Study in Partially Observable RL (RWRL Report)Talk Link2KPDF
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Improving Human Decision-Making using Metalevel-RL and Bayesian InferenceTalk Link2LPDF
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Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty Talk Link2MPDF
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Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement LearningTalk Link2NPDF
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DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose PoliciesTalk Link2OPDF
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Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined DataTalk Link2PPDF
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Semi-Supervised Learning for Doubly Robust Offline Policy EvaluationTalk Link2QPDF
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Reinforcement Learning Agents for Ubisoft’s Roller ChampionsTalk Link2RPDF
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Constraint Sampling Reinforcement Learning for Recommendation SystemsTalk Link2SPDF
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TS-GLR: an Adaptive Thompson Sampling for the Switching Multi-Armed Bandit ProblemTalk Link2TPDF
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Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot LearningTalk Link2UPDF
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The Challenges of Reinforcement Learning for Airline Seat PricingTalk Link2VPDF
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The Cost of OPSTalk Link2WPDF
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