lcswillems / torch-ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
☆191Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for torch-ac
- Code for the paper "Phasic Policy Gradient"☆251Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆285Updated 9 months ago
- ☆188Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆294Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- ☆285Updated last year
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆181Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆162Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆280Updated last year
- Multi Task RL Baselines☆223Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆156Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- Gridworld for MARL experiments☆137Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- PyTorch implementation of DreamerV2 model-based RL algorithm☆209Updated last year
- OpenAI Gym wrapper for the DeepMind Control Suite☆204Updated 5 months ago
- Lightweight multi-agent gridworld Gym environment☆194Updated last year
- impact-driven-exploration☆126Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 3 months ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆232Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆132Updated 5 years ago
- Multitask Environments for RL☆273Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆143Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆224Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆326Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆119Updated 3 years ago
- Partially Observable Process Gym☆166Updated 4 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago