https://github.com/TianhongDai/reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

a2c actor-critic algorithm atari2600 ddpg deep-learning deep-reinforcement-learning dqn dueling-dqn flappy-bird ppo proximal-policy-optimization pytorch sac soft-actor-critic trpo trust-region-policy-optimization

Last synced: 27 Nov 2024

https://github.com/ikostrikov/pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

continuous-control deep-learning deep-reinforcement-learning mujoco pytorch reinforcement-learning trpo trust-region-policy-optimization

Last synced: 06 Apr 2025

https://github.com/funnydman/bfgs-neldermead-trustregion

Python implementation of some numerical (optimization) methods

ai bfgs dogleg-algorithm dogleg-method machine-learning machine-learning-algorithms mathematics nelder-mead numerical-methods numerical-optimization optimization python trust-region trust-region-dogleg-algorithm trust-region-policy-optimization

Last synced: 21 Mar 2025

https://github.com/hcnoh/rl-collection-pytorch

A collection of Reinforcement Learning implementations with PyTorch

actor-critic continuous-control deep-learning deep-reinforcement-learning gae generalized-advantage-estimation openai-gym policy-gradient ppo proximal-policy-optimization pytorch reinforcement-learning trpo trust-region-policy-optimization

Last synced: 30 Apr 2025

https://github.com/rlopensource/spinning_up_kr

ddpg deep-deterministic-policy-gradient ou-noise ppo ppo2 proximal-policy-optimization reinforcement-learning robotics sac soft-actor-critic spinningup td3 trpo trust-region-policy-optimization

Last synced: 15 Apr 2025

https://github.com/lihangliu/cs395t-numerical-optimization

Course projects of CS395T Numerical Optimization, UT Austin

optimization proximal-policy-optimization trust-region-policy-optimization

Last synced: 02 Mar 2025

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