Reinforcement Learning in Factored MDPs

We study reinforcement learning in non-episodic factored Markov decision processes (FMDPs). We propose two near-optimal and oracle-efficient algorithms for ...

Efficient Reinforcement Learning in Factored MDPs - UPenn CIS

Efficient Reinforcement Learning in Factored MDPs. Michael Kearns. AT&T Labs [email protected]. Daphne Koller. Stanford University [email protected].

Efficient Reinforcement Learning in Factored MDPs with Application ...

We study a new formulation of constrained RL, known as RL with knapsack constraints (RLwK), and provides the first sample-efficient algorithm based on FMDP-BF.

Reinforcement Learning in Factored MDPs: Oracle-Efficient ...

We study reinforcement learning in non-episodic factored Markov decision pro- cesses (FMDPs). We propose two near-optimal and oracle-efficient algorithms for.

[1403.3741] Near-optimal Reinforcement Learning in Factored MDPs

Title:Near-optimal Reinforcement Learning in Factored MDPs ... Abstract:Any reinforcement learning algorithm that applies to all Markov decision ...

Efficient Reinforcement Learning in Factored MDPs with Application...

Reinforcement learning (RL) in episodic, factored Markov decision processes (FMDPs) is studied. We propose an algorithm called FMDP-BF, ...

Near-optimal Reinforcement Learning in Factored MDPs

Any reinforcement learning algorithm that applies to all Markov decision processes (MDPs) will suffer (ФSAT) regret on some MDP, where T is.

Efficient Structure Learning in Factored-State MDPs

Our method learns the DBN structures as part of the reinforcement-learning process and provably provides an efficient learning algorithm when combined with fac-.

Polynomial Time Reinforcement Learning in Factored State MDPs ...

Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions Zihao Deng, Siddartha Devic, Brendan JubaMany reinforcem...

Efficient reinforcement learning in factored MDPs - ACM Digital Library

Abstract. We present a provably efficient and near-optimal algorithm for reinforcement learning in Markov decision processes (MDPs) whose transition model can ...

Model-Based Reinforcement Learning in Factored-State MDPs

Model-Based Reinforcement Learning in Factored-State MDPs · Model-Based Reinforcement Learning in Factored-State MDPs · Alerts · References. References is not ...

Oracle-Efficient Reinforcement Learning in Factored MDPs with ...

In this paper, we provide the first algorithm that learns the structure of the FMDP while minimizing the regret.

Multi-objective Reinforcement Learning in Factored MDPs with ...

2023. Multi-objective. Reinforcement Learning in Factored MDPs with Graph Neural Networks: Extended Abstract. In Proc. of the 22nd International ...

Reinforcement Learning with Factored States and Actions

An agent interacting with the environment can be modeled as a Markov decision process (MDP). (Bellman, 1957b). The task of learning which action to perform ...

EFFICIENT REINFORCEMENT LEARNING IN FACTORED MDPS ...

Reinforcement learning (RL) in episodic, factored Markov decision processes. (FMDPs) is studied. We propose an algorithm called FMDP-BF, whose regret.

Efficient Reinforcement Learning in Factored MDPs with Application ...

May 3rd, 2021. Xiaoyu Chen (Peking University). Factored MDPs. May 3rd, 2021. 1/7. Page 2. Tabular Episodic MDP. For tabular MDPs, the regret bounds ...

Review for NeurIPS paper: Reinforcement Learning in Factored MDPs

Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting · Meta Review. After discussing with ...

Incremental Structure Learning in Factored MDPs with Continuous ...

Much work in the reinforcement learning literature has focused on algorithms that exploit this structure to more efficiently learn or compute optimal solutions ...

Model-Based Reinforcement Learning in Factored-State MDPs

Finally, we also develop and analyze a new algorithm, called Factored Interval Estimation, for learning in Factored MDPs that utilizes the IE approach to ...

Improved Exploration in Factored Average-Reward MDPs

Efficient reinforcement learning in factored MDPs. In Proceedings of the 16th. Page 11. Mohammad Sadegh Talebi, Anders Jonsson, Odalric-Ambrym Maillard.