eugenevinitsky / robust_RL_multi_adversaryLinks
We investigate the effect of populations on finding good solutions to the robust MDP
☆28Updated 4 years ago
Alternatives and similar repositories for robust_RL_multi_adversary
Users that are interested in robust_RL_multi_adversary are comparing it to the libraries listed below
Sorting:
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- ☆54Updated last year
- ☆26Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆36Updated 3 years ago
- ☆99Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- ☆66Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- ☆57Updated 2 years ago
- ☆17Updated 3 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- NeurIPS Reproducibility Challenge 2019☆20Updated 5 years ago
- ☆201Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- ☆22Updated last year