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Dec 5, 2024 - 祝贺李鹏翼（博士生）获得2024年度国家自然科学基金青年学生基础研究项目(博士研究生)资助
祝贺李鹏翼（博士生）获得2024年度国家自然科学基金青年学生基础研究项目(博士研究生)，获资助经费30万元
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Nov 4, 2024 - 祝贺袁逸夫（博士生）获得2024年度（首届）中国电子学会—腾讯博士生科研激励计划资助
祝贺袁逸夫（博士生）获得2024年度（首届）中国电子学会—腾讯博士生科研激励计划资助，全国仅17名，获10万元科研激励基金资助
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Sep 26, 2024 - Nine papers accepted by NeurIPS 2024:
"PERlA: Perceive, Reason lmadine, Act via Holistic l anouage and vision Planning for Manipulation", "ivideoGpT: nteractive videoGPTs areScalable World Models", "iteraively Refined Behavior Reqularization for Offine Reinforcement Learning", "FlexPlanner: flexible 3DFloorplanning via Deep Reinforcement Learningin Hybrid Action Space with Multi-Modaity Representation", "Unlock the intermittent ControlAbility of ModelFree Reinforcement Learning", "Difuserlite: Towards Real-time Difusion Planning", "The Ladder in Chaos: mproving PolicyLearning by Harnessing the Parameter Evoling Path in A Low-dimensional Space","owards Next-Generation Locic Synthesis: A scalableNeural circuit Generation Framework", CleanDiffuser: An Easy-to-use Modularized library for Diffusion Models in Decision Making"
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May 2, 2024 - Twelve papers accepted by ICML 2024:
"HarmonyDream: Task Harmonization Inside World Models","Rethinking Decision Transformer via Hierarchical Reinforcement Learning","Sample-Efficient Multiagent Reinforcement Learning with Reset Replay","Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting","Imagine Big from Small: Unlock the Cognitive Generalization of Deep Reinforcement Learning from Simple Scenarios","EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search","A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design","KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations","Value-Evolutionary-Based Reinforcement Learning","Reinforcement Learning within Tree Search for Fast Macro Placement","Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph", "A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design"
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Apr 21, 2024 - Two papers accepted by IJCAI 2024:
"ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles", "vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement"
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Feb 28, 2024 - Two papers accepted by CVPR 2024:
"Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts","Improving Unsupervised Hierarchical Representation with Reinforcement Learning"
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Jan 15, 2024 - Four papers accepted by ICLR 2024:
"Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback","Sample-Efficient Quality-Diversity by Cooperative Coevolution","AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model","Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework"
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Dec 9, 2023 - Five papers accepted by AAAI 2024:
"PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning","Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces","OVD-Explorer: Optimism should not be the Sole Pursuit of Exploration in Noisy Environments","A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning","PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Signal Delay Learning and Attentional Cell Modeling"
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May 5, 2023 - Three papers accepted by ICML 2023:
"ChiPFormer: Transferable Chip Placement via Offline Decision Transformer","MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL","RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution"
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Jan 21, 2023 - Seven papers accepted by ICLR 2023:
"ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation","Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework","EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model","Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection","DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks","CFlowNets: Continuous control with Generative Flow Network","Out-of-distribution Detection with Implicit Outlier Transformation"
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Nov 25, 2022 - Four papers accepted by AAAI 2023:
"SplitNet: A Reinforcement Learning based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem","Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network","Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems","Models as Agents: Optimizing Muti-Step Predictions of interactive Local Models in Model-Based Multi-Agent Reinforcement Learning"
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Sep 15, 2022 - Seven papers accepted by NeurIPS 2022:
"Multiagent Q-learning with Sub-Team Coordination","Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing","GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis","Versatile Multi-stage Graph Neural Network for Circuit Representation","The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design","DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning","Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning"
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May 18, 2022 - Five papers accepted by ICML 2022:
"PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration","Individual Reward Assisted Multi-Agent Reinforcement Learning","Plan Your Target and Learn Your Skills: Transferable State-Only lmitation Learning via Decoupled Policy Optimization","Neuro-Symbolic Hierarchical Rule Induction","Learning Pseudometric-based Action Representations for Offline Reinforcement Learning"
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Apr 21, 2022 - One paper accepted by IJCAI 2022:
"PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations"
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Jan 28, 2022 - Three papers accepted by ICLR 2022:
"HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation", "Online Ad Hoc Teamwork under Partial Observability", "Learning State Representations via Retracing in Reinforcement Learning"
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Dec 1, 2021 - One paper accepted by AAAI 2022:
"What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator"
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Nov 9, 2021 - Runner-up, Best Paper Award in PRICAI 2021:
"Detecting and Learning Against Unknown Opponents for Automated Negotiations"
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Oct 1, 2021 - Six papers accepted by NeurIPS 2021:
"Dynamic Bottleneck for Robust Self-Supervised Exploration","Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning","Model-Based Reinforcement Learning via Imagination with Derived Memory","A Reinforcement Learning Based Bi-level Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems"，"Adaptive Online Packing-guided Search for POMDPs","An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning"
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Jun 5, 2021 - One paper accepted by ICML 2021:
" Principled Exploration via Optimistic Bootstrapping and Backward Induction"
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May 22, 2021 - One paper accepted by KDD 2021:
" A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem"
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Apr 30, 2021 - One paper accepted by IJCAI 2021:
" Ordering-Based Causal Discovery with Reinforcement Learning"
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Apr 27, 2021 - One paper accepted by IEEE Transaction on Smart Grid 2021:
" Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization"
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Jan 1, 2021 - One paper accepted by ICSE 2021:
" Automatic Web Testing using Curiosity-Driven Reinforcement Learning"
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Dec 4, 2020 - Three papers accepted by AAAI 2021:
"Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction","Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning","Addressing Action Oscillations through Learning Policy Inertia"
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Sep 30, 2020 - One paper accepted by NeurIPS 2020:
"Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping"
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Jun 3, 2020 - Two papers accepted by ICML 2020:
"Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising","Q-value Path Decomposition for Deep Multiagent Reinforcement Learning"
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Apr 21, 2020 - Five papers accepted by IJCAI 2020:
"Learning to Accelerate Heuristic Searching for Large-Scale MaximumWeighted b-Matching Problems in Online Advertising","Efficient Deep Reinforcement Learning via Adaptive Policy Transfer "," Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objectives Deep Reinforcement Learning"," Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets"，"KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge"
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Oct 22, 2019 - ACM SIGSOFT Distinguished Paper Award in ASE 2019:
" Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning"
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Oct 15, 2019 - Best Paper Award in DAI 2019:
" Achieving Cooperation Through Deep Multiagent Reinforcement Learning in Sequential Prisoner's Dilemmas"