wangyuhuix / TrulyPPOLinks
☆30Updated 2 years ago
Alternatives and similar repositories for TrulyPPO
Users that are interested in TrulyPPO are comparing it to the libraries listed below
Sorting:
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- ☆32Updated 2 years ago
- PyTorch IMPALA implementation☆27Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated last year
- ☆54Updated last year
- Exploration by Random Network Distillation☆15Updated 6 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆124Updated 8 months ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated last month
- ☆75Updated last year
- Soft Actor-Critic with advanced features☆50Updated this week
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 4 months ago
- ☆92Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago