OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
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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
Gibson Environments: Real-World Perception for Embodied Agents
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
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
🦍 Memorilla: Latent Semantic Memory for LLMs
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
[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.
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
An OpenAI gym wrapper for CARLA simulator
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)