yfletberliac / adversarially-guided-actor-criticLinks
AGAC: Adversarially Guided Actor-Critic
☆48Updated 4 years ago
Alternatives and similar repositories for adversarially-guided-actor-critic
Users that are interested in adversarially-guided-actor-critic are comparing it to the libraries listed below
Sorting:
- Revisiting Rainbow☆75Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆91Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- impact-driven-exploration☆132Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 3 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Deep RL agents with PyTorch☆35Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- ☆84Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Collection of reinforcement learning algorithms☆16Updated last week
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆35Updated 5 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- ☆114Updated 2 years ago