今天给大家分享的是2022年IEEE世界机器人与自动化大会（IEEE InternationalConference on Robotics and Automation，简称IEEE ICRA）中涉及“强化学习”主题的论文。
IEEE国际机器人与自动化协会每年主办一次IEEE世界机器人与自动化大会（IEEE InternationalConference on Robotics and Automation，IEEE ICRA），IEEE ICRA是机器人领域规模（千人以上）和影响力都排名第一的顶级国际会议，是机器人领域权威研究人员介绍其研究成果的首要国际论坛。
- [1]. Backprop-Free Reinforcement Learning with Active Neural Generative Coding.
- [2]. Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning.
- [3]. CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
- [4]. Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach.
- [5]. OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control.
- [6]. EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles.
- [7]. DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning.
- [8]. AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning.
- [9]. Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning.
- [10]. Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint.
- [11]. Enforcement Heuristics for Argumentation with Deep Reinforcement Learning.
- [12]. Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.
- [13]. Learning by Competition of Self-Interested Reinforcement Learning Agents.
- [14]. Reinforcement Learning with Stochastic Reward Machines.
- [15]. Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting.
- [16]. Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods.
- [17]. Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks.
- [18]. Wasserstein Unsupervised Reinforcement Learning.
- [19]. Reinforcement Learning of Causal Variables Using Mediation Analysis.
- [20]. Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes.
- [21]. Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning.
- [22]. Same State, Different Task: Continual Reinforcement Learning without Interference.
- [23]. Introducing Symmetries to Black Box Meta Reinforcement Learning.
- [24]. Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs.
- [25]. Conjugated Discrete Distributions for Distributional Reinforcement Learning.
- [26]. Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning.
- [27]. Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation.
- [28]. Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.
- [29]. Exploring Safer Behaviors for Deep Reinforcement Learning.
- [30]. Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning.
- [31]. Unsupervised Reinforcement Learning in Multiple Environments.
- [32]. Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.
- [33]. Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning.
- [34]. Offline Reinforcement Learning as Anti-exploration.
- [35]. Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability.
- [36]. Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic.
- [37]. Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.
- [38]. Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments.
- [39]. Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.
- [40]. Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits.
- [41]. Constraints Penalized Q-learning for Safe Offline Reinforcement Learning.
- [42]. Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning.
- [43]. Natural Black-Box Adversarial Examples against Deep Reinforcement Learning.
- [44]. SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning.
- [45]. State Deviation Correction for Offline Reinforcement Learning.
- [46]. Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic.
- [47]. A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning.
- [48]. Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning.
- [49]. Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.
- [50]. Invariant Action Effect Model for Reinforcement Learning.
- [51]. Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning.
- [52]. Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems.
- [53]. A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning.
- [54]. Goal Recognition as Reinforcement Learning.
- [55]. NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming.
- [56]. MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems.
- [57]. Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents.
- [58]. Text-Based Interactive Recommendation via Offline Reinforcement Learning.
- [59]. Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter.
- [60]. Bayesian Model-Based Offline Reinforcement Learning for Product Allocation.
- [61]. Reinforcement Learning for Datacenter Congestion Control.
- [62]. Creating Interactive Crowds with Reinforcement Learning.
- [63]. Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract).
- [64]. Reinforcement Learning Explainability via Model Transforms (Student Abstract).
- [65]. Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract).
- [66]. Criticality-Based Advice in Reinforcement Learning (Student Abstract).
- [67]. VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract).