YunjiaXi / Implementation-and-Some-Modification-about-DQN-and-SAC
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.
☆11Updated 4 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:
- Implement PPO algorithm on mujoco environment，such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.☆51Updated 4 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆169Updated last year
- ☆38Updated 3 years ago
- 强化学习面试（未完待续）☆35Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆84Updated 7 years ago
- PPO, DDPG, SAC implementation on mujoco environment☆109Updated 3 years ago
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆55Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 5 months ago
- Paper Collection for Imitation Learning in RL.☆146Updated 3 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- Communication using GNN in MARL☆20Updated 3 years ago
- RL algorithms☆141Updated 4 years ago
- Implement DQN and DDQN algorithm on Atari games，such as BreakoutNoFrameskip-v4, PongNoFrameskip-v4,BoxingNoFrameskip-v4.☆15Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆107Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆67Updated 11 months ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆37Updated 6 months ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Updated 4 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 years ago
- ☆75Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆145Updated 11 months ago
- A collection of offline reinforcement learning algorithms.☆181Updated 5 months ago
- Paper list for constrained policy optimization in reinforcement learning.☆72Updated last year
- CORRO code☆35Updated 2 years ago
- ☆93Updated 4 years ago
- There will be updates later☆84Updated 6 years ago
- ☆129Updated 9 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆89Updated last year
- ☆124Updated 3 years ago
- ☆13Updated 4 years ago
- Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.☆14Updated 5 years ago