clvoloshin / COBSLinks
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
☆63Updated 3 years ago
Alternatives and similar repositories for COBS
Users that are interested in COBS are comparing it to the libraries listed below
Sorting:
- ☆89Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- ☆44Updated 4 years ago
- ☆201Updated 2 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆92Updated 2 years ago
- ☆114Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆80Updated 3 years ago
- ☆18Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆198Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- ☆111Updated last year
- ☆30Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆153Updated 4 years ago
- ☆31Updated 6 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- ☆62Updated 7 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 7 years ago
- ☆133Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆52Updated 2 years ago
- Code for demonstration example-task in RUDDER blog☆24Updated 5 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- ☆54Updated last year
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- 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