Jiankai-Sun / Proximal-Policy-Optimization-Pytorch
Proximal Policy Optimization(PPO) Algorithm and its distributed implementation in Pytorch
☆15Updated 7 years ago
Alternatives and similar repositories for Proximal-Policy-Optimization-Pytorch:
Users that are interested in Proximal-Policy-Optimization-Pytorch are comparing it to the libraries listed below
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 6 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 7 years ago
- ☆60Updated 6 years ago
- FEN Code☆37Updated 5 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- ☆30Updated 2 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆47Updated 5 years ago
- Multi-agent algorithm based on counterfactual multi-agent policy gradients☆7Updated 6 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆63Updated 5 years ago
- ☆32Updated 2 years ago
- ☆52Updated 6 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago