[ICRA] Crowd-aware Robot Navigation
- reinforcement-learning
- crowd-navigation
- collision-avoidance
Repository Index
47,133 repositories indexed
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ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
- tensorflow
- ros
- deep-reinforcement-learning
- collision-avoidance
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
The repository host gives no description.
An OpenAI gym wrapper for CARLA simulator
- carla-simulator
- autonomous-driving
- deep-reinforcement-learning
- imitation-learning
The repository host gives no description.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Maze Applied Reinforcement Learning Framework
Trading Environment(OpenAI Gym) + PPO(TensorForce)
- ppo
- proximal-policy-optimization
- tensorforce
- trading
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
- game-ai
- hearthstone
- reinforcement-learning
- rust
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Communicating with godot engine through shared memory
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
- micropython
- neural-network
- multilayer-perceptron
- mlp
The repository host gives no description.
Trading environnement for RL agents, backtesting and training.
- trading
- backtesting
- reinforcement-learning-agent
- reinforcement-learning
Build RL environments for any domain from real cases that Browser Use agents mine from the web