mike-gimelfarb / deep-successor-features-for-transfer
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
☆39Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-successor-features-for-transfer
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 5 years ago
- ☆90Updated 11 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆155Updated 2 years ago
- ☆81Updated 3 years ago
- Distributional Soft Actor Critic☆49Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆70Updated 7 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- Simple maze environments using mujoco-py☆52Updated 10 months ago
- Hierarchical-DQN in pytorch (not actively maintained)☆68Updated 7 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆42Updated last year
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆50Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆30Updated last year
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- 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
- ☆71Updated 5 months ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆89Updated 2 months ago
- PyTorch IMPALA implementation☆24Updated 5 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆159Updated 4 years ago
- Implementation of the Option-Critic Architecture☆36Updated 5 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated last year