TTree: Tree-Based State Generalization with Temporally Abstract Actions
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Reinforcement learning for POMDPs based on action values and stochastic optimization
Eighteenth national conference on Artificial intelligence
Policy search using paired comparisons
The Journal of Machine Learning Research
Least-squares policy iteration
The Journal of Machine Learning Research
Efficient hierarchical MCMC for policy search
ICML '04 Proceedings of the twenty-first international conference on Machine learning
High speed obstacle avoidance using monocular vision and reinforcement learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Bayesian sparse sampling for on-line reward optimization
ICML '05 Proceedings of the 22nd international conference on Machine learning
Evolutionary Function Approximation for Reinforcement Learning
The Journal of Machine Learning Research
Point-Based Value Iteration for Continuous POMDPs
The Journal of Machine Learning Research
Empirical Studies in Action Selection with Reinforcement Learning
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Selecting treatment strategies with dynamic limited-memory influence diagrams
Artificial Intelligence in Medicine
Sequential Monte Carlo in reachability heuristics for probabilistic planning
Artificial Intelligence
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
International Journal of Robotics Research
Finite-Time Bounds for Fitted Value Iteration
The Journal of Machine Learning Research
State-Dependent Exploration for Policy Gradient Methods
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transferring Instances for Model-Based Reinforcement Learning
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Recent Advances in Reinforcement Learning
Regularized Fitted Q-Iteration: Application to Planning
Recent Advances in Reinforcement Learning
Reinforcement Learning: A Tutorial Survey and Recent Advances
INFORMS Journal on Computing
Search-based structured prediction
Machine Learning
Unsupervised search-based structured prediction
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Compact, convex upper bound iteration for approximate POMDP planning
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Planning in models that combine memory with predictive representations of state
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Stochastic filtering in a probabilistic action model
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Probabilistic planning via determinization in hindsight
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Perseus: randomized point-based value iteration for POMDPs
Journal of Artificial Intelligence Research
Learning policies for embodied virtual agents through demonstration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Point-based value iteration: an anytime algorithm for POMDPs
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Solving POMDPs with continuous or large discrete observation spaces
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Smoothed Sarsa: reinforcement learning for robot delivery tasks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Transfer Learning for Reinforcement Learning Domains: A Survey
The Journal of Machine Learning Research
Optimizing walking controllers for uncertain inputs and environments
ACM SIGGRAPH 2010 papers
A sampling-based approach to computing equilibria in succinct extensive-form games
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
New inference strategies for solving Markov decision processes using reversible jump MCMC
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
TTree: tree-based state generalization with temporally abstract actions
Adaptive agents and multi-agent systems
Simulation-based optimization of Markov decision processes: An empirical process theory approach
Automatica (Journal of IFAC)
PAC-MDP learning with knowledge-based admissible models
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Statistical machine learning makes automatic control practical for internet datacenters
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
A rational model of eye movement control in reading
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A probabilistic particle-control approximation of chance-constrained stochastic predictive control
IEEE Transactions on Robotics
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Efficient gradient estimation for motor control learning
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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