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Continuous Control

80 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

Benchmarking Deep Reinforcement Learning for Continuous Control

22 Apr 2016openai/rllab

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

ATARI GAMES CONTINUOUS CONTROL

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

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

6 Nov 2018ShangtongZhang/DeepRL

In this paper, we propose an actor ensemble algorithm, named ACE, for continuous control with a deterministic policy in reinforcement learning.

CONTINUOUS CONTROL

DeepMind Control Suite

2 Jan 2018deepmind/dm_control

The DeepMind Control Suite is a set of continuous control tasks with a standardised structure and interpretable rewards, intended to serve as performance benchmarks for reinforcement learning agents.

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

Learning Latent Dynamics for Planning from Pixels

12 Nov 2018google-research/planet

Planning has been very successful for control tasks with known environment dynamics.

CONTINUOUS CONTROL MOTION PLANNING