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:
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆43Updated 2 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆218Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆50Updated 4 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- implementation of distributed reinforcement learning with distributed tensorflow☆57Updated 4 years ago
- Solving POMDP using Recurrent networks☆87Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆93Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- ☆69Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 5 months ago
- Atari-DRQN (keras ver.)☆33Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆54Updated 2 weeks ago
- ☆40Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆54Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 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 8 months ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago