ryanxhr / BEARLinks
Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
☆11Updated 6 years ago
Alternatives and similar repositories for BEAR
Users that are interested in BEAR are comparing it to the libraries listed below
Sorting:
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- ☆30Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Updated 2 years ago
- ☆44Updated 4 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"☆19Updated 4 years ago
- RLA is a tool for managing your RL experiments automatically☆72Updated 3 years ago
- Personal Repo to keep track of RL papers☆31Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 5 years ago
- ☆18Updated 3 years ago
- ☆135Updated last year
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆133Updated last year
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Updated 6 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 6 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆54Updated last year
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- ☆30Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 3 years ago
- ☆15Updated 5 years ago
- ☆108Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- ☆92Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆42Updated 3 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- ☆15Updated 5 years ago
- ☆202Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago