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model-based-rl

Here are 45 public repositories matching this topic...

werner-duvaud / muzero-general

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MuZero

machine-learning reinforcement-learning deep-learning neural-network deep-reinforcement-learning python3 pytorch gym mcts rl tensorboard residual-network monte-carlo-tree-search self-learning alphago model-based-rl alphazero muzero muzero-general

Updated Aug 5, 2021
Python

ctallec / world-models

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Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

reinforcement-learning pytorch model-based-rl

Updated Dec 19, 2020
Python

Shunichi09 / PythonLinearNonlinearControl

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PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

reinforcement-learning mpc optimal-control ddp cem model-predictive-control model-based-rl nmpc nonlinear-control ilqr linear-control mppi

Updated Aug 21, 2021
Python

kchua / handful-of-trials

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Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

reinforcement-learning model-based-rl

Updated Dec 17, 2020
Python

nrontsis / PILCO

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Bayesian Reinforcement Learning in Tensorflow

machine-learning reinforcement-learning tensorflow gaussian-processes model-based-rl

Updated Feb 15, 2021
Python

koulanurag / muzero-pytorch

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Pytorch Implementation of MuZero

deep-reinforcement-learning planning tree-search model-based-rl

Updated Jun 2, 2021
Python

danfeiX / model-based-papers

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My reading list for model-based control

reading-list model-based-rl

Updated Dec 17, 2018

quanvuong / handful-of-trials-pytorch

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Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

reinforcement-learning ensemble-learning probabilistic-models model-based-rl model-based-reinforcement-learning

Updated Jun 1, 2021
Python

google-research / dads

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Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

reinforcement-learning deep-learning unsupervised-learning model-based-rl skill-discovery

Updated Oct 2, 2020
Python

cap-ntu / baconian-project

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Model-based Reinforcement Learning Framework

reinforcement-learning reinforcement-learning-algorithms model-based model-based-rl model-based-reinforcement-learning

Updated May 22, 2020
Python

nnaisense / MAX

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Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

reinforcement-learning deep-reinforcement-learning exploration model-based-rl

Updated Jul 23, 2019
Python

aravindsrinivas / neural-mpc

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deep-reinforcement-learning model-predictive-control model-based-rl

Updated Jul 7, 2020
Python

ewanlee / ICLR2019-RL-Papers

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The Reinforcement-Learning-Related Papers of ICLR 2019

reinforcement-learning transfer-learning imitation-learning online-learning hierarchical-reinforcement-learning inverse-reinforcement-learning multiagent-reinforcement-learning meta-learning model-based-rl model-free iclr2019 intrinsic-reward robust-reinforcement-learning sequence-modeling

Updated May 28, 2019

erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch

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Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

python reinforcement-learning deep-learning berkeley deep-reinforcement-learning openai-gym pytorch neural-networks policy-gradient deep-q-learning mujoco model-based-rl actor-critic-algorithm model-free-rl

Updated May 21, 2021
Python

evgenii-nikishin / omd

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JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

machine-learning reinforcement-learning deep-learning automatic-differentiation deep-reinforcement-learning dqn gym flax haiku sac model-based-rl jax model-based-reinforcement-learning soft-actor-critic dm-haiku

Updated Jun 14, 2021
Jupyter Notebook

XueyingBai / Model-Based-Reinforcement-Learning-for-Online-Recommendation

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A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.

pytorch model-based-rl

Updated Nov 26, 2019
Python

angelolovatto / raylab

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Open

Scale tril by desired average action stddev

angelolovatto commented Sep 12, 2019

Currently we use a very ad-hoc procedure for scaling the quadratic component of NAF when used for exploration:
https://github.com/angelolovatto/raylab/blob/9820275b17ee085e1955a6d845c0bdf61333f8da/raylab/algorithms/naf/naf_policy.py#L150-L155

A possibly better alternative would be to scale it based on the desired average action stddev. Something like:

scale_tril * (1.0 / average_st

Read more

good first issue

LinZichuan / AdMRL

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Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

tensorflow model-based-rl adversarial-training meta-reinforcement-learning

Updated Mar 6, 2021
Python

ossamaAhmed / blackbox_mpc

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Sampling based Model Predictive Control package for Model-Based RL research

reinforcement-learning model-predictive-control model-based-rl derivative-free-optimization sampling-based-planning

Updated Oct 20, 2020
Python

Deepest-Project / WorldModels-A3C

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World Models with A3C on Carracing-v0 in gym

pytorch lstm gym vae a3c actor-critic car-racing model-based-rl a3c-lstm world-models world-models-rl world-models-a3c

Updated Mar 29, 2020
Python

i-abr / TorchMPC

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Pytorch implementation of Model Predictive Control with learned models

torch pytorch mpc model-based-rl mpc-control model-based-reinforcement-learning

Updated Sep 18, 2020
Python

erickTornero / Model-based-Quadrotor

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Model based RL for fault-rotor quadrotor

reinforcement-learning fault-tolerance quadrotor meta-learning model-based-rl

Updated Jan 16, 2020
Python

dhananjaisharma10 / Model-based-Reinforcement-Learning

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Model-based reinforcement learning using CEM, MPC and PETS

model-predictive-control model-based-rl cross-entropy-method probabilistic-ensemble trajectory-sampling

Updated Nov 20, 2019
Python

borea17 / efficient_rl

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Reimplementation of "An Object-Oriented Representation for Efficient RL"

reinforcement-learning reproducible-research model-based-rl efficient-rl door-max

Updated Sep 2, 2020
Python

sarthak268 / learning-to-paint-using-modelbased-drl

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Learning to paint using Model-based Deep Reinforcement Learning

reinforcement-learning ddpg-algorithm ppo model-based-rl td3 learning-to-paint

Updated Oct 23, 2020
Python

mbhenaff / neural-e3

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deep-learning deep-reinforcement-learning model-based-rl exploration-exploitation

Updated Dec 17, 2019
Python

chandar-lab / LoCA

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reinforcement-learning pytorch model-based-rl

Updated Jul 7, 2021
Python

sahandrez / quad_pilco

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Applying MBRL (PILCO) to a Quadrotor

model-based-rl pilco

Updated Oct 28, 2018
HTML

ShreeshaN / ReinforcementLearningTutorials

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This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

q-learning pytorch dqn epsilon-greedy breakout sarsa policy-iteration value-iteration monte-carlo-methods deep-q-learning model-based-rl model-free-rl td-methods model-free-control

Updated Dec 8, 2019
Python

harwiltz / stable-dynamics-models

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PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models), with extensions to controlled dynamical systems.

machine-learning reinforcement-learning model-based-control dynamics-models lyapunov model-based-rl

Updated May 1, 2020
Python

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