transition model

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 Learning Planning Abstractions from Language ICLR 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Scalable Safe Policy Improvement for Factored Multi-Agent MDPs ICML 2024 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 PDSketch: Integrated Domain Programming, Learning, and Planning NeurIPS 2022 Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments AAAI 2021 A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021 Data-Efficient Reinforcement Learning with Self-Predictive Representations ICLR 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Learning Model Preconditions for Planning with Multiple Models CoRL 2021 Minimax Model Learning AISTATS 2021 Unsupervised Object-Based Transition Models For 3D Partially Observable Environments NeurIPS 2021 Global Greedy Dependency Parsing AAAI 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 Learning sparse relational transition models ICLR 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Iterative Value-Aware Model Learning NeurIPS 2018 Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models IJCAI 2018 Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014