mrana6's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
awjuliani/DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
MilesCranmer/symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
rasbt/scipy2023-deeplearning
yrlu/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
kristery/Awesome-Imitation-Learning
A curated list of awesome imitation learning resources and publications
aravindr93/mjrl
Reinforcement learning algorithms for MuJoCo tasks
bguillouet/traj-dist
A python package for computing distance between 2D trajectories.
brentyi/jaxlie
Rigid transforms + Lie groups in JAX
utiasSTARS/bingham-rotation-learning
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
wanxinjin/Pontryagin-Differentiable-Programming
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
williamgilpin/fnn
Embed strange attractors using a regularizer for autoencoders
mginesi/dmp_pp
Implementation of DMP in Python 3.5
boschresearch/PR-SSM
Python implementation of the PR-SSM.
mginesi/dmp_vol_obst
Implementation of Dynamic Movement Primitives (DMPs) in Python 3.5 together with various methods to treat obstacle avoidance
locuslab/stable_dynamics
Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
ferreirafabio/movement_primitives_via_optimization
Implementation of the paper "Movement Primitives via Optimization" (Dragan et al., 2016). It includes both the adaptation of trajectories with DMP and learning a better adaptation norm.
flowersteam/promplib
Python implementation of Probabilistic Motor Primitives including a ROS overlay to be used with JointTrajectory, JointState and RobotTrajectory, RobotState (Move It) messages
nash169/learn-diffeomorphism
Repositories containing implementation of a NVP (Non-Volume Preserving) network for Dynamical System learning via diffeomorphic mapping.
craigiedon/ltl_diff
Mini-repository to transform Temporal Logic Constraints into a differentiable cost function
MotionPlanning-YC/gps
Guided policy search in Python and ROS Indigo.