sebascuri / rllibLinks
☆19Updated last year
Alternatives and similar repositories for rllib
Users that are interested in rllib are comparing it to the libraries listed below
Sorting:
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- ☆47Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Conservative Q learning in Jax☆54Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- ☆31Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆114Updated 3 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆18Updated 4 years ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆18Updated 4 months ago
- ☆42Updated 2 years ago
- ☆29Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- My Body Is A Cage☆41Updated 4 years ago
- ☆36Updated 2 years ago
- ☆41Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- ☆53Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆75Updated last year
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow☆36Updated 7 months ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆64Updated 5 years ago
- ☆46Updated 2 years ago
- ☆23Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆103Updated last year
- Mirror Descent Policy Optimization☆38Updated 4 years ago