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Efficient Exploration

33 papers with code · Methodology

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Optimistic Exploration even with a Pessimistic Initialisation

ICLR 2020 oxwhirl/opiq

We show that this scheme is provably efficient in the tabular setting and extend it to the deep RL setting.

EFFICIENT EXPLORATION Q-LEARNING

7
26 Feb 2020

Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning

23 Dec 2019tiantan522/PINs

We use an indexed value function to represent uncertainty in our action-value estimates.

EFFICIENT EXPLORATION

1
23 Dec 2019

Better Exploration with Optimistic Actor Critic

NeurIPS 2019 microsoft/oac-explore

To address both of these phenomena, we introduce a new algorithm, Optimistic Actor Critic, which approximates a lower and upper confidence bound on the state-action value function.

CONTINUOUS CONTROL EFFICIENT EXPLORATION

31
01 Dec 2019

Neural Contextual Bandits with UCB-based Exploration

11 Nov 2019sauxpa/neural_exploration

To the best of our knowledge, it is the first neural network-based contextual bandit algorithm with a near-optimal regret guarantee.

EFFICIENT EXPLORATION MULTI-ARMED BANDITS

0
11 Nov 2019

ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance

17 Oct 2019ARiSE-Lab/ConEX__Replication_Package

For cost reduction, we developed and experimentally tested and validated two approaches: using scaled-up big data jobs as proxies for the objective function for larger jobs and using a dynamic job similarity measure to infer that results obtained for one kind of big data problem will work well for similar problems.

EFFICIENT EXPLORATION

0
17 Oct 2019

Receding Horizon Curiosity

8 Oct 2019mschulth/rhc

Sample-efficient exploration is crucial not only for discovering rewarding experiences but also for adapting to environment changes in a task-agnostic fashion.

EFFICIENT EXPLORATION

7
08 Oct 2019

Learning-Driven Exploration for Reinforcement Learning

17 Jun 2019Usama1002/EBE-Exploration

We introduce entropy-based exploration (EBE) that enables an agent to explore efficiently the unexplored regions of the state space.

EFFICIENT EXPLORATION FPS GAMES

1
17 Jun 2019

Efficient Exploration via State Marginal Matching

ICLR 2020 RLAgent/state-marginal-matching

The SMM objective can be viewed as a two-player, zero-sum game between a state density model and a parametric policy, an idea that we use to build an algorithm for optimizing the SMM objective.

EFFICIENT EXPLORATION

41
12 Jun 2019

Estimating Risk and Uncertainty in Deep Reinforcement Learning

23 May 2019uncharted-technologies/risk-and-uncertainty

Our method combines elements from distributional reinforcement learning and approximate Bayesian inference techniques with neural networks, allowing us to disentangle both types of uncertainty on the expected return of a policy.

BAYESIAN INFERENCE DISTRIBUTIONAL REINFORCEMENT LEARNING EFFICIENT EXPLORATION

8
23 May 2019

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

233
19 Mar 2019