shikharbahl

academicpages.github.io

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

handful-of-trials

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

hierarchical-ndps

multiworld

Multitask Environments for RL

neural-dynamic-policies

playfusion_dataset

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

vrb

shikharbahl/vrb

shikharbahl/neural-dynamic-policies

shikharbahl/hierarchical-ndps

shikharbahl/playfusion_dataset

shikharbahl/handful-of-trials

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

shikharbahl/multiworld

Multitask Environments for RL

shikharbahl/robosuite

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

shikharbahl/sawyer_control

shikharbahl/shikharbahl.github.io

shikharbahl/academicpages.github.io

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

shikharbahl/acai

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

shikharbahl/bsuite

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

shikharbahl/cmu-vision.github.io

shikharbahl/cmu_stretch_dataset

shikharbahl/dynamics-aware-embeddings

Official implementation of DynE, Dynamics-aware Embeddings for RL

shikharbahl/e2c-pytorch

E2C implementation in PyTorch

shikharbahl/garage

A framework for reproducible reinforcement learning research

shikharbahl/hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

shikharbahl/interaction-hotspots

Learning interaction hotspots from egocentric video

shikharbahl/lagrangian_nns

Lagrangian Neural Networks

shikharbahl/mjrl

Reinforcement learning algorithms for MuJoCo tasks

shikharbahl/phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

shikharbahl/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

shikharbahl/rllab

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

shikharbahl/sunrise

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

shikharbahl/TDN

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

shikharbahl/torchdiffeq

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

shikharbahl/visual_mpc

Visual MPC implementation running on Rethink Sawyer Robot

shikharbahl/website