conftrace_

model learning

20 papers

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Co-occurring keywords

reinforcement learning (4352) model-based reinforcement learning (415) partially observable markov decision process (178) safe planning (11) automated planning (152) bayesian learning (185) policy optimization (657) combinatorial optimization (1039) objective function (19) physics engine (9)

Papers

Learning Safe Action Models with Partial Observability AAAI 2024
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NIPS 2023
TaskMet: Task-driven Metric Learning for Model Learning NIPS 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NIPS 2023
Learning Safe Numeric Action Models AAAI 2023
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022
Learning How to Solve “Bubble Ball” L4DC 2021
ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
Passive learning of Timed Automata from logs (Student Abstract) AAAI 2021
Value-driven Hindsight Modelling NIPS 2020
Gradient-Aware Model-Based Policy Search AAAI 2020
Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019
Boosting Combinatorial Problem Modeling with Machine Learning IJCAI 2018
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Game Engine Learning from Video IJCAI 2017
CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis IJCAI 2017
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011
Closing the Learning-Planning Loop with Predictive State Representations RSS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010