hari-sikchi / offline_rlLinks
Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.
☆23Updated 3 years ago
Alternatives and similar repositories for offline_rl
Users that are interested in offline_rl are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆50Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆27Updated 5 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 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
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Implementation of the Option-Critic Architecture☆41Updated 6 years ago
- ☆43Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆99Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- ☆40Updated 4 years ago
- ☆54Updated last year
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- ☆57Updated 2 years ago
- ☆78Updated last year
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆53Updated 4 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆47Updated 3 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 5 years ago
- ☆84Updated 6 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago