ZhongZ-Wang / Model-Based-RLLinks
这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。
☆45Updated 5 years ago
Alternatives and similar repositories for Model-Based-RL
Users that are interested in Model-Based-RL are comparing it to the libraries listed below
Sorting:
- DSAC; Distributional Soft Actor-Critic☆135Updated 10 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Updated 6 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆90Updated 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
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆214Updated last year
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆63Updated 2 years ago
- Transformer in RL for decision-making☆103Updated 2 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Updated 2 years ago
- ☆128Updated 4 years ago
- Constrained Policy Optimization implementation on Safety Gym☆28Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- A plotter for reinforcement learning (RL)☆234Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 10 months ago
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆226Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML☆21Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆234Updated 5 years ago
- Assignments for CS294-112.☆30Updated 6 years ago
- There will be updates later☆87Updated 6 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆55Updated 4 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- ☆106Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆129Updated 2 years ago