clvoloshin / COBSLinks
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
☆62Updated 3 years ago
Alternatives and similar repositories for COBS
Users that are interested in COBS are comparing it to the libraries listed below
Sorting:
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- ☆88Updated last year
- ☆43Updated 4 years ago
- ☆202Updated 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☆161Updated 5 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- ☆92Updated last year
- ☆114Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆197Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆78Updated 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
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- ☆54Updated last year
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- ☆62Updated 7 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- ☆26Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆151Updated 4 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated 2 years ago
- ☆18Updated 3 years ago
- ☆99Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- ☆30Updated 3 years ago