modanesh / anomalous_rl_envsLinks
Anomalous versions of OpenAI Gym and PyBullet3 environments
☆15Updated 4 years ago
Alternatives and similar repositories for anomalous_rl_envs
Users that are interested in anomalous_rl_envs are comparing it to the libraries listed below
Sorting:
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Benchmarking RL generalization in an interpretable way.☆173Updated last month
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago
- Hindsight policy gradients☆46Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- ☆54Updated last year
- 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
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 2 months ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- ☆201Updated 2 years ago
- ☆31Updated 6 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆226Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Gridworld for MARL experiments☆144Updated 4 years ago
- Gym-like extensions for POMDP☆56Updated 4 years ago
- ☆47Updated 5 years ago
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆20Updated 5 years ago
- Partially Observable Process Gym☆209Updated 6 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- ☆10Updated 4 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 4 years ago
- ☆32Updated 2 years ago
- Simple maze environments using mujoco-py☆57Updated 2 years ago
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year
- ☆114Updated 2 years ago