osigaud / Basic-Policy-Gradient-Labs
A repo to design basic Policy Gradient labs
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Basic-Policy-Gradient-Labs
- Deep Reinforcement Learning Framework done with PyTorch☆30Updated this week
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆15Updated 4 years ago
- ☆71Updated 5 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆37Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆42Updated last year
- ☆21Updated 7 months ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Pytorch implementation of Soft Actor-Critic☆18Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- ☆28Updated 2 years ago
- ☆38Updated last year
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆9Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 4 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago