jakegrigsby / super_sacLinks
A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.
☆38Updated last year
Alternatives and similar repositories for super_sac
Users that are interested in super_sac are comparing it to the libraries listed below
Sorting:
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆74Updated last year
- ☆43Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 11 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆144Updated last year
- RL Algorithms for Visual Continuous Control☆33Updated 2 years ago
- ☆56Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆75Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- behavior cloning from observation☆34Updated 4 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 8 months ago
- Simple maze environments using mujoco-py☆56Updated last year
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆131Updated 2 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆59Updated 4 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- ☆31Updated 4 years ago
- DecentralizedLearning☆24Updated 2 years ago
- ☆53Updated 3 years ago
- ☆48Updated last year
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago