schatty / oprlLinks
A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
☆134Updated last month
Alternatives and similar repositories for oprl
Users that are interested in oprl are comparing it to the libraries listed below
Sorting:
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- ☆201Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆251Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆153Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆262Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆195Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 8 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆36Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆76Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆48Updated 3 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆190Updated last year
- PyTorch implementation of GAIL and AIRL based on PPO.☆225Updated 4 years ago