Projects in Awesome Lists by legalaspro
A curated list of projects in awesome lists by legalaspro .
https://github.com/legalaspro/rl-odyssey
RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
a3c actor-critic continuous-control ddpg deep-learning deep-reinforcement-learning dm-control gymnasium mujoco policy-gradient ppo proximal-policy-optimization pytorch reinforcement-learning sac soft-actor-critic td3 trpo trust-region-policy-optimization
Last synced: 04 Mar 2025
https://github.com/legalaspro/maddpg-zoo-torch
A modern implementation of MADDPG and MADDPG-Approx algorithms using PyTorch and PettingZoo environments. This project provides a clean, modular framework for multi-agent reinforcement learning research, featuring parallel training capabilities, comprehensive visualization tools, and support for various cooperative and competitive scenarios
ddpg farama-foundation maddpg maddpg-pytorch mpe multiagent-reinforcement-learning pettingzoo pytorch supersuit
Last synced: 24 Mar 2025
https://github.com/legalaspro/rnn_gru_lstm_experiments
RNN, GRU, LSTM implementation using PyTorch and Numpy
Last synced: 12 Mar 2025
https://github.com/legalaspro/nn_zero_to_hero
Neural Networks: Zero to Hero
Last synced: 12 Mar 2025
https://github.com/legalaspro/deep-q-network-banana-collector
Deep Reinforcement Learning on Unity Banana Collector
Last synced: 12 Mar 2025
https://github.com/legalaspro/finance_rl_experiment
Finance RL Optimal Liquidation Experiment
Last synced: 12 Mar 2025
https://github.com/legalaspro/mobilegeo
Experimenting geo service for WP7, Android, iPhone
Last synced: 12 Mar 2025
https://github.com/legalaspro/mystore_angular
MyStore, a simple e-commerce application in angular
Last synced: 12 Mar 2025
https://github.com/legalaspro/unity-reacher-crawler-deeprl
Implementation and comparison of state-of-the-art deep reinforcement learning algorithms (DDPG, TD3, SAC) for continuous control tasks in Unity ML-Agents environments. Features multi-agent training, performance visualization, and detailed analysis across Reacher (robotic arm) and Crawler (quadruped locomotion) environments.
Last synced: 12 Mar 2025
https://github.com/legalaspro/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
mappo multiagent-learning multiagent-reinforcement-learning multiagents pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch smac starcraft2
Last synced: 10 Apr 2025