jiangsy / mbpo_pytorch
☆28Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for mbpo_pytorch
- ☆14Updated 4 years ago
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- ☆40Updated 3 years ago
- ☆13Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆71Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆154Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 3 years ago
- ☆51Updated last year
- ☆59Updated 6 years ago
- ☆53Updated 8 months ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆57Updated 2 years ago
- ☆10Updated 4 years ago
- CORRO code☆34Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated last week
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆17Updated last year
- Meta RL codebase for Unstable Baselines☆20Updated last year
- 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
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆47Updated last year
- TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"☆19Updated 2 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆69Updated last year
- ☆41Updated 3 years ago