a2c
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- #1★ 10,955+10Star change over the last 7 days
- #2
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
★ 10,358+19Star change over the last 7 days - #3★ 4,359+2Star change over the last 7 days
- #4★ 3,452+3Star change over the last 7 days
- #5
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
★ 1,362+0Star change over the last 7 days - #6★ 1,083+2Star change over the last 7 days
- #7
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
★ 728+0Star change over the last 7 days - #8
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)
★ 697+1Star change over the last 7 days - #9
A PyTorch library for building deep reinforcement learning agents.
★ 657+0Star change over the last 7 days