conftrace_

continuous state space

24 papers

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Co-occurring keywords

reinforcement learning (4352) markov decision process (790) continuous state (8) partially observable markov decision process (178) sample complexity (1169) online learning (1777) deep reinforcement learning (903) point-based value iteration (6) continuous time (47) regret bound (1926)

Papers

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
A theory of continuous generative flow networks ICML 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NIPS 2023
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021
Neurosymbolic Reinforcement Learning with Formally Verified Exploration NIPS 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NIPS 2019
Budgeted Reinforcement Learning in Continuous State Space NIPS 2019
Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces NIPS 2019
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013
Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Point-Based Value Iteration for Continuous POMDPs JMLR 2006