jemaw / gym-safety
Simple gym environments for safety in Reinforcement Learning Research
☆16Updated 10 months ago
Alternatives and similar repositories for gym-safety
Users that are interested in gym-safety are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 5 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Logically-Constrained Reinforcement Learning☆54Updated 10 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated last year
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆63Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 3 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆25Updated 9 months ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 5 years ago
- ☆53Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- ☆29Updated 3 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆13Updated 2 years ago
- ☆72Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆167Updated 6 months ago
- ☆44Updated 4 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- ☆55Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Distributional Soft Actor Critic☆53Updated 4 years ago