Pinned Repositories
CHER
Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
e2e-model-learning
Task-based end-to-end model learning in stochastic optimization
gaitStability
LSTM for detecting risk-of-fall instances of human walking for mobile robot platforms
motion-planners
Python implementations of several robotic motion planners
mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
mushroom
Python library for Reinforcement Learning experiments.
RLBench
A large-scale benchmark and learning environment.
rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
silver-gigi
tiago_grasp_plan
gchal's Repositories
gchal/gaitStability
LSTM for detecting risk-of-fall instances of human walking for mobile robot platforms
gchal/mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
gchal/tiago_grasp_plan
gchal/CHER
Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
gchal/motion-planners
Python implementations of several robotic motion planners
gchal/mushroom
Python library for Reinforcement Learning experiments.
gchal/RLBench
A large-scale benchmark and learning environment.
gchal/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
gchal/stride_predictor_LSTM
LSTM prediction models necessary for establishing desired coupled human-robot navigation
gchal/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
gchal/bingham-rotation-learning
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
gchal/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
gchal/curious
Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
gchal/deep_bingham
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
gchal/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
gchal/differentiable-mpc
gchal/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gchal/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
gchal/gchal.github.io
gchal/GNNPapers
Must-read papers on graph neural networks (GNN)
gchal/gym
A toolkit for developing and comparing reinforcement learning algorithms.
gchal/iGibson
Large Scale Virtualized Interactive Environments for Robot Learning
gchal/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
gchal/mopac
Model Predictive Actor-Critic Reinforcement Learning
gchal/orange
Orientation Attentive Robot Grasp Synthesis
gchal/pddlstream
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
gchal/pybullet_planning
A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
gchal/pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
gchal/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
gchal/spinningup
An educational resource to help anyone learn deep reinforcement learning.