shikharbahl

vrb

neural-dynamic-policies

hierarchical-ndps

playfusion_dataset

handful-of-trials

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

multiworld

Multitask Environments for RL

robosuite

Surreal Robotics Suite with VICES IROS19 code: standardized and accessible robot manipulation benchmark with physics simulation and integrated analytical controllers

sawyer_control

shikharbahl.github.io

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

cmu-vision.github.io

cmu_stretch_dataset

dynamics-aware-embeddings

Official implementation of DynE, Dynamics-aware Embeddings for RL

e2c-pytorch

E2C implementation in PyTorch

garage

A framework for reproducible reinforcement learning research

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

interaction-hotspots

Learning interaction hotspots from egocentric video

lagrangian_nns

Lagrangian Neural Networks

mjrl

Reinforcement learning algorithms for MuJoCo tasks

phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

TDN

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

visual_mpc

Visual MPC implementation running on Rethink Sawyer Robot

website