YunjiaXi / Implementation-and-Some-Modification-about-DQN-and-SACLinks
In this project, I explore some typical value-based and policy-based RL algorithms. I do experiments on DQN and its six variants and their combination in Atari environments Pong and Boxing. I also do some experiments on SAC with DDPG as baseline on three MuJoCo environments Hopper-v2, Ant-v2, and HalfCheetah-v2.
☆12Updated 5 years ago
Alternatives and similar repositories for Implementation-and-Some-Modification-about-DQN-and-SAC
Users that are interested in Implementation-and-Some-Modification-about-DQN-and-SAC are comparing it to the libraries listed below
Sorting:
- ☆316Updated 3 years ago
- Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C☆15Updated 5 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- Implement PPO algorithm on mujoco environment,such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.☆56Updated 5 years ago
- basic algorithms of reinforcement learning☆215Updated 2 years ago
- DQN to play Atari Pong☆114Updated 6 years ago
- RL algorithms☆141Updated 4 years ago
- Implementation of benchmark RL algorithms☆472Updated 3 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆549Updated 7 years ago
- 强化学习面试(未完待续)☆34Updated 5 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆386Updated last year
- ☆1,033Updated 2 years ago
- ☆128Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆257Updated 5 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆168Updated last year
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- ☆172Updated 2 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆90Updated 5 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆41Updated last year
- ☆90Updated 3 years ago
- PPO, DDPG, SAC implementation on mujoco environment☆122Updated 3 years ago
- A large-scale multi-modal pre-trained model☆132Updated 2 years ago
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆58Updated 4 years ago
- ☆10Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆72Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 11 months ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆255Updated 3 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆63Updated 4 years ago