denisyarats / pytorch_sac_aeLinks
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
☆243Updated 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:
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- ☆198Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 5 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 10 months ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆552Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 7 months ago
- PyTorch implementation of SAC-Discrete.☆305Updated 10 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆224Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆169Updated 3 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆209Updated 6 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆353Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- Random Network Distillation pytorch☆251Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆500Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆410Updated 3 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆320Updated 10 months ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago