user432 / DeepRL-in-PyTorchLinks
Minimal Implementation of Deep RL Algorithms in PyTorch
☆22Updated 5 years ago
Alternatives and similar repositories for DeepRL-in-PyTorch
Users that are interested in DeepRL-in-PyTorch are comparing it to the libraries listed below
Sorting:
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆87Updated 5 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆42Updated last year
- Logically-Constrained Reinforcement Learning☆55Updated last year
- ☆154Updated 6 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Robust and safe deep reinforcement learning algorithms☆15Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 5 months ago
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆24Updated 6 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 3 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆64Updated 3 years ago
- ☆40Updated 2 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- ☆76Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆73Updated 6 years ago
- ☆13Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆60Updated 2 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆39Updated last year
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆33Updated last year
- Repository of the work "Learning Adaptive Safety for Multi-agent Systems"☆15Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆70Updated last year
- ☆59Updated 2 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆213Updated 11 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Transformer in RL for decision-making☆100Updated 2 years ago