Convert sc2 environment to gym-atari and play some mini-games
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Updated
Oct 28, 2017 - Python
Convert sc2 environment to gym-atari and play some mini-games
The OpenAI advantage actor critic (A2C) model
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Implementing reinforcement-learning algorithms for pysc2 -environment
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED
Reinforcement Learning Playground
A drone control system based on deep reinforcement learning with Tensorflow and ROS
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR). Python2 compatible (branch python2)
PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"
PyTorch Library for Reinforcement Learning algorithms
Implementation of A2C and ACKTR in TensorFlow.
PyTorch Implementations of Standard Deep RL Algorithms (including REINFORCE, A2C, PPO)
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
RL learning model for Hola's Haggling Challenge
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
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