Top a2c open source projects

An elegant PyTorch deep reinforcement learning library.

✭ 4,109

python Makefile pytorch dqn ppo policy-gradient imitation-learning ddpg mujoco benchmark library rl cql atari sac drl npg double-dqn trpo a2c td3 bcq

Deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

✭ 2,640

python Dockerfile shell pytorch deep-reinforcement-learning dqn ppo ddpg rainbow double-dqn dueling-network-architecture quantile-regression option-critic-architecture deeprl categorical-dqn a2c prioritized-experience-replay option-critic td3

Pytorch A2c Ppo Acktr Gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

✭ 2,051

python deep-learning machine-learning pytorch reinforcement-learning deep-reinforcement-learning simple dqn ppo a3c ddpg reinforce sac acer a2c policy-gradients

Reinforcement Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

✭ 3,329

Jupyter Notebook python deep-learning machine-learning artificial-intelligence reinforcement-learning deep-reinforcement-learning dqn ppo deepmind qlearning evolution-strategies a2c policy-gradients

Deep reinforcement learning course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

✭ 3,232

Jupyter Notebook python deep-learning pytorch tensorflow unity deep-reinforcement-learning tensorflow-tutorials ppo actor-critic deep-q-network qlearning deep-q-learning a2c

pysc2-rl-agents

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

✭ 124

python tensorflow deep-reinforcement-learning a3c starcraft-ii a2c pysc2 pysc2-agent pysc2-mini-games

Deep-Reinforcement-Learning-Notebooks

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.