Reinforcement Learning

An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations IJCAI 2023 A New Challenge in Policy Evaluation AAAI 2023 A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning CVPR 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 Anti-Exploration by Random Network Distillation ICML 2023 AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System RSS 2023 Anytime-Competitive Reinforcement Learning with Policy Prior NeurIPS 2023 A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games AAAI 2023 A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NeurIPS 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 A Pragmatic Look at Deep Imitation Learning ACML 2023 Arbitrarily Scalable Environment Generators via Neural Cellular Automata NeurIPS 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract) AAAI 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes ICCV 2023