aa14k / Exploration-in-RLLinks
☆29Updated last year
Alternatives and similar repositories for Exploration-in-RL
Users that are interested in Exploration-in-RL are comparing it to the libraries listed below
Sorting:
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆24Updated 3 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆20Updated 2 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
- ☆131Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆162Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- ☆43Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆62Updated 3 years ago
- ☆62Updated 7 years ago
- ☆78Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- ☆31Updated 6 years ago
- ☆203Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- Hindsight policy gradients☆45Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- ☆92Updated last year