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.
☆290Updated 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☆320Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 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.☆260Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆183Updated last year
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆248Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆556Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆368Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆152Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆237Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆347Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Code for Weighted QMIX☆138Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 6 months 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
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆438Updated 2 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago