ymzhang01 / focops
Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
☆26Updated 3 years ago
Alternatives and similar repositories for focops:
Users that are interested in focops are comparing it to the libraries listed below
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- ☆55Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆69Updated last year
- ☆71Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago
- Implementations of safe reinforcement learning algorithms☆26Updated 11 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆87Updated 5 months ago
- ☆54Updated 11 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- Simple gym environments for safety in Reinforcement Learning Research☆15Updated 7 months ago
- Implementations of SAILR, PDO, and CSC☆31Updated 7 months ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆161Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- ☆42Updated 3 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆34Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆146Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆44Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year