stefanbo92 / A3C-Continuous
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
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆101Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Solving POMDP using Recurrent networks☆85Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- ☆76Updated 7 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆49Updated 9 months ago
- Repository for codes of 'Deep Reinforcement Learning'☆215Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆116Updated 3 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- ☆69Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆112Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆52Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆84Updated 7 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 6 years ago
- Simple Cartpole example writed with pytorch.☆166Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- ☆120Updated 2 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆73Updated 4 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago