BY571 / Soft-Actor-Critic-and-ExtensionsLinks
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
☆291Updated 4 years ago
Alternatives and similar repositories for Soft-Actor-Critic-and-Extensions
Users that are interested in Soft-Actor-Critic-and-Extensions are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆323Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆261Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆185Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆151Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆251Updated 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 …☆119Updated 10 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆189Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆351Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆558Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆440Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆224Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆130Updated 7 months ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆226Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆211Updated 6 years ago
- ☆122Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆133Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago