hari-sikchi / offline_rl
Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.
☆22Updated 2 years ago
Related projects: ⓘ
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆39Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆25Updated 4 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 4 years ago
- ☆28Updated 2 years ago
- ☆32Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆63Updated last year
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- ☆39Updated 3 years ago
- ☆51Updated last year
- ☆53Updated 6 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆61Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆29Updated last year
- Implementations of SAILR, PDO, and CSC☆29Updated 2 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆24Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆39Updated 5 years ago
- ☆16Updated last year
- ☆23Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 5 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆47Updated 2 years ago
- PyTorch IMPALA implementation☆24Updated 5 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆45Updated 3 months ago
- Model-Based Offline Reinforcement Learning☆47Updated 3 years ago
- ☆59Updated 6 years ago