chagmgang / pytorch_ppo_rlLinks
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
☆53Updated 6 years ago
Alternatives and similar repositories for pytorch_ppo_rl
Users that are interested in pytorch_ppo_rl are comparing it to the libraries listed below
Sorting:
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- ☆83Updated 6 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆71Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- ☆40Updated 5 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures☆37Updated 5 years ago
- ☆76Updated last year
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Soft Actor-Critic☆147Updated 7 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- PyTorch implementation of R2D2 (Recurrent Replay Distributed DPG (not DQN))☆15Updated 6 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago