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Brown University
- Providence
- taodav.cc
Stars
Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367
Massively parallel rigidbody physics simulation on accelerator hardware.
10378 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
⚡ Flashbax: Accelerated Replay Buffers in JAX
A compositional diagramming and animation library as an eDSL in Python
Official reinforcement learning environment for demand response and load shaping
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
A collection of postmortems. Sorry for the delay in merging PRs!
An elegant PyTorch deep reinforcement learning library.
A collection of reference environments for offline reinforcement learning
Lightweight python library for launching experiments and tuning hyperparameters, either locally or on a cluster
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
Least Squares Policy Iteration (LSPI) in Python
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.
JAX implementations of various deep reinforcement learning algorithms.
Distributed and Dynamic Neural Network for Generate and Test based Representation Learning
Typed argument parser for Python
A framework for experimenting with never-ending learning