reinforcement-learning
3461 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in reinforcement-learning
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Libraries
Use these libraries to find reinforcement-learning models and implementations
NASA C-MAPSS
Most implemented papers
Weight Uncertainty in Neural Networks
We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop.
Rainbow: Combining Improvements in Deep Reinforcement Learning
thu-ml/tianshou
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The deep reinforcement learning community has made several independent improvements to the DQN algorithm.
Self-critical Sequence Training for Image Captioning
ruotianluo/ImageCaptioning.pytorch
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CVPR 2017
In this paper we consider the problem of optimizing image captioning systems using reinforcement learning, and show that by carefully optimizing our systems using the test metrics of the MSCOCO task, significant gains in performance can be realized.
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
DartEnv/dart-env
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The purpose of this technical report is two-fold.
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
They are, along with a number of recently reviewed or published portfolio-selection strategies, examined in three back-test experiments with a trading period of 30 minutes in a cryptocurrency market.
Simple random search provides a competitive approach to reinforcement learning
A common belief in model-free reinforcement learning is that methods based on random search in the parameter space of policies exhibit significantly worse sample complexity than those that explore the space of actions.
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
We explore the use of Evolution Strategies (ES), a class of black box optimization algorithms, as an alternative to popular MDP-based RL techniques such as Q-learning and Policy Gradients.
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
deepmind/scalable_agent
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ICML 2018
In this work we aim to solve a large collection of tasks using a single reinforcement learning agent with a single set of parameters.
ParlAI: A Dialog Research Software Platform
facebookresearch/ParlAI
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EMNLP 2017
We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl. ai.
