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Continuous Control

119 papers with code · Playing Games

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Parameter Space Noise for Exploration

ICLR 2018 tensorflow/models

Combining parameter noise with traditional RL methods allows to combine the best of both worlds.

CONTINUOUS CONTROL

Primal Wasserstein Imitation Learning

8 Jun 2020google-research/google-research

Imitation Learning (IL) methods seek to match the behavior of an agent with that of an expert.

CONTINUOUS CONTROL IMITATION LEARNING

Unsupervised learning of object structure and dynamics from videos

NeurIPS 2019 google-research/google-research

Extracting and predicting object structure and dynamics from videos without supervision is a major challenge in machine learning.

CONTINUOUS CONTROL OBJECT TRACKING VIDEO PREDICTION

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

1 Oct 2019google/trax

In this paper, we aim to develop a simple and scalable reinforcement learning algorithm that uses standard supervised learning methods as subroutines.

CONTINUOUS CONTROL OPENAI GYM

Continuous control with deep reinforcement learning

9 Sep 2015facebookresearch/Horizon

We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain.

CONTINUOUS CONTROL Q-LEARNING

Benchmarking Deep Reinforcement Learning for Continuous Control

22 Apr 2016rllab/rllab

Recently, researchers have made significant progress combining the advances in deep learning for learning feature representations with reinforcement learning.

ATARI GAMES CONTINUOUS CONTROL

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

NeurIPS 2017 hill-a/stable-baselines

In this work, we propose to apply trust region optimization to deep reinforcement learning using a recently proposed Kronecker-factored approximation to the curvature.

ATARI GAMES CONTINUOUS CONTROL

Sample Efficient Actor-Critic with Experience Replay

3 Nov 2016hill-a/stable-baselines

This paper presents an actor-critic deep reinforcement learning agent with experience replay that is stable, sample efficient, and performs remarkably well on challenging environments, including the discrete 57-game Atari domain and several continuous control problems.

CONTINUOUS CONTROL