yaoliucs / PQLLinks
Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"
☆12Updated 5 years ago
Alternatives and similar repositories for PQL
Users that are interested in PQL are comparing it to the libraries listed below
Sorting:
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 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
- Reinforcement Learning via Latent State Decoding☆29Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆88Updated 6 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Updated 2 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- ☆201Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 years ago
- ☆31Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆89Updated last year
- ☆85Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆151Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months ago
- ☆114Updated 2 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆225Updated last year
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago