Brian Radlick's repositories
Stoix
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
alpaca-py
The Official Python SDK for Alpaca API
evosax
Evolution Strategies in JAX 🦎
AlphaTrade
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
RayEnvWrapper
OpenAi's gym environment wrapper to vectorize them with Ray
shedskin
Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
groove
Official implementation for the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"
pybroker
Algorithmic Trading in Python with Machine Learning
warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
FinRL
FinRL: Financial Reinforcement Learning. 🔥
sbx
SBX: Stable Baselines Jax (SB3 + Jax)
envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
MicroRTS
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
google-research
Google Research
vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
episodic-transformer-memory-ppo
Clean baseline implementation of PPO using an episodic TransformerXL memory
curiousreplay
Implementations of Curious Replay for model-based adaptation.
phasic-policy-gradient
Code for the paper "Phasic Policy Gradient"
muzero-general
MuZero
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
colab-github
Authenticate with GitHub in Google Colab to access private repo.
go-explore
Code for Go-Explore: a New Approach for Hard-Exploration Problems
gym-mtsim
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
panda
code powering the comma.ai panda