Browse > Methodology > Efficient Exploration

Efficient Exploration

33 papers with code · Methodology

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Deep Exploration via Bootstrapped DQN

NeurIPS 2016 tensorflow/models

Efficient exploration in complex environments remains a major challenge for reinforcement learning.

ATARI GAMES EFFICIENT EXPLORATION

Noisy Networks for Exploration

ICLR 2018 chainer/chainerrl

We introduce NoisyNet, a deep reinforcement learning agent with parametric noise added to its weights, and show that the induced stochasticity of the agent's policy can be used to aid efficient exploration.

ATARI GAMES EFFICIENT EXPLORATION

Batch Bayesian Optimization via Local Penalization

29 May 2015SheffieldML/GPyOpt

The approach assumes that the function of interest, $f$, is a Lipschitz continuous function.

BAYESIAN OPTIMISATION EFFICIENT EXPLORATION GAUSSIAN PROCESSES

Stochastic Gradient Hamiltonian Monte Carlo

17 Feb 2014JavierAntoran/Bayesian-Neural-Networks

Hamiltonian Monte Carlo (HMC) sampling methods provide a mechanism for defining distant proposals with high acceptance probabilities in a Metropolis-Hastings framework, enabling more efficient exploration of the state space than standard random-walk proposals.

EFFICIENT EXPLORATION

Automatic chemical design using a data-driven continuous representation of molecules

7 Oct 2016maxhodak/keras-molecules

We report a method to convert discrete representations of molecules to and from a multidimensional continuous representation.

EFFICIENT EXPLORATION

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

19 Mar 2019katerakelly/oyster

In our approach, we perform online probabilistic filtering of latent task variables to infer how to solve a new task from small amounts of experience.

EFFICIENT EXPLORATION META REINFORCEMENT LEARNING

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

8 Oct 2018ianwhale/nsga-net

This paper introduces NSGA-Net -- an evolutionary approach for neural architecture search (NAS).

EFFICIENT EXPLORATION NEURAL ARCHITECTURE SEARCH OBJECT CLASSIFICATION

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

NAACL 2019 rajammanabrolu/KG-DQN

Text-based adventure games provide a platform on which to explore reinforcement learning in the context of a combinatorial action space, such as natural language.

EFFICIENT EXPLORATION QUESTION ANSWERING TRANSFER LEARNING

Model-Based Active Exploration

29 Oct 2018nnaisense/max

Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations.

EFFICIENT EXPLORATION