liuzuxin / safe-mbrl
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
☆65Updated 2 years ago
Alternatives and similar repositories for safe-mbrl:
Users that are interested in safe-mbrl are comparing it to the libraries listed below
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 8 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆65Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆58Updated 9 months ago
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆70Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆53Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆59Updated 3 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆58Updated 4 years ago
- ☆47Updated 2 months ago
- ☆97Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- ☆55Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆33Updated 10 months ago
- DecentralizedLearning☆24Updated 2 years ago
- ☆71Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆55Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated 4 months ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Implementations of safe reinforcement learning algorithms☆26Updated last year