adik993 / ppo-pytorchLinks
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
☆147Updated 6 years ago
Alternatives and similar repositories for ppo-pytorch
Users that are interested in ppo-pytorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆324Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆262Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆227Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆225Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 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
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆153Updated last year
- Random Network Distillation pytorch☆252Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated 10 months ago