denisyarats / pytorch_sac_aeLinks
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
☆248Updated 5 years ago
Alternatives and similar repositories for pytorch_sac_ae
Users that are interested in pytorch_sac_ae are comparing it to the libraries listed below
Sorting:
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 6 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- ☆199Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆218Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆318Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆222Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆289Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆504Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆174Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆433Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆451Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆149Updated 3 years ago
- Random Network Distillation pytorch☆251Updated 6 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆329Updated 11 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated last year