schatty / oprlLinks
A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
☆133Updated 10 months ago
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.☆96Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆145Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆351Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- ☆120Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆110Updated 4 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Distributional Soft Actor Critic☆53Updated 4 years ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆189Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆92Updated 10 months ago