zplizzi / pytorch-ppoLinks
Simple, readable, yet full-featured implementation of PPO in Pytorch
☆49Updated 6 months ago
Alternatives and similar repositories for pytorch-ppo
Users that are interested in pytorch-ppo are comparing it to the libraries listed below
Sorting:
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆136Updated 2 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆374Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 5 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- 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.☆173Updated 11 months ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆197Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆327Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆329Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Random Network Distillation pytorch☆255Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆512Updated 2 years ago
- Code for conservative Q-learning☆462Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 9 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- ☆131Updated last year
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago