stefanbo92 / A3C-ContinuousLinks
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
☆46Updated 7 years ago
Alternatives and similar repositories for A3C-Continuous
Users that are interested in A3C-Continuous are comparing it to the libraries listed below
Sorting:
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆218Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆93Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆140Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- ☆69Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆226Updated 3 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- ☆42Updated 6 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 10 months ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆75Updated 5 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆189Updated 11 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆323Updated 3 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 11 months ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago