jemaw / gym-safety
Simple gym environments for safety in Reinforcement Learning Research
☆15Updated 7 months ago
Alternatives and similar repositories for gym-safety:
Users that are interested in gym-safety are comparing it to the libraries listed below
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆173Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago
- Benchmarking RL generalization in an interpretable way.☆142Updated last week
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆162Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- ☆14Updated 3 years ago
- ☆54Updated 11 months ago
- A PyTorch implementation of Implicit Q-Learning☆71Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- ☆55Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 5 months ago
- ☆28Updated 2 years ago
- ☆191Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- ☆123Updated 6 months ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆58Updated 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
- Learning to Incentivize Other Learning Agents☆32Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago