polixir / NeoRL
Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
☆108Updated last year
Related projects ⓘ
Alternatives and complementary repositories for NeoRL
- A collection of offline reinforcement learning algorithms.☆158Updated 5 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆129Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆154Updated 2 years ago
- ☆188Updated last year
- Paper Collection for Batch RL with brief introductions.☆85Updated 2 years ago
- Conservative Q Learning on top of SAC☆119Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆71Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆64Updated 6 months ago
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- ☆228Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆72Updated 10 months ago
- ☆106Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆122Updated 6 months ago
- ☆117Updated 3 months ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆69Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆119Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆70Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆150Updated 2 weeks ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆114Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆158Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆156Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆114Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆173Updated last month
- Implement many Sparse Reward algorithms in Gym Fetch environment☆81Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆145Updated 3 years ago