Wanqianxn / usfaLinks
Implementation of USFAs: https://arxiv.org/pdf/1812.07626.pdf
☆9Updated 6 years ago
Alternatives and similar repositories for usfa
Users that are interested in usfa are comparing it to the libraries listed below
Sorting:
- ☆198Updated 2 years ago
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Updated 7 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated 11 months ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆64Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆191Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- Representation Learning for RL☆126Updated 2 years ago
- ☆31Updated 6 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆222Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- ☆53Updated 5 years ago
- ☆29Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆69Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆47Updated 10 months ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆170Updated 8 months ago
- ☆113Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆157Updated last month
- ☆61Updated 7 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆324Updated 10 months ago