vaishak2future / sacLinks
Implementation of Soft Actor Critic
☆37Updated 4 years ago
Alternatives and similar repositories for sac
Users that are interested in sac are comparing it to the libraries listed below
Sorting:
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 8 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated last month
- Random Network Distillation pytorch☆253Updated 6 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆296Updated 7 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆324Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆251Updated 5 years ago
- ☆26Updated 7 years ago
- ☆77Updated 7 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆216Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆163Updated 2 years ago
- Multitask Environments for RL☆280Updated 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 …☆120Updated 11 months ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago