An offline deep reinforcement learning library
- deep-reinforcement-learning
- deep-learning
- pytorch
- offline-rl
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An offline deep reinforcement learning library
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Computational framework for reinforcement learning in traffic control
Tools for various online judges. Downloading sample cases, generating additional test cases, testing your code, and submitting it.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Scalable, event-driven, deep-learning-friendly backtesting library
An Intelligent wordlist generator based on user profiling, permutations, and statistics. (Named after the same tool in Mr.Robot series S01E01)
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
🦍 Memorilla: Latent Semantic Memory for LLMs
TranslatedA platform for building and running digital employees for enterprises: it solidifies the experience, processes, and judgment standards of professional employees into AI digital employees that can be put to work at any time and are configurable, approvable, and observable.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
[ICRA] Crowd-aware Robot Navigation
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A curated list of Monte Carlo tree search papers with implementations.
Official release of the ProGen models
An OpenAI gym wrapper for CARLA simulator
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.