Variational intrinsic control

5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings

Volumn , Issue , 2017, Pages

  Gregor, Karol ^a   Rezende, Danilo Jimenez ^a   Wierstra, Daan ^a  

^a DEEPMIND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; FUNCTIONS APPROXIMATIONS; GRADIENT BASED ALGORITHM; MUTUAL INFORMATIONS; POLICY GRADIENT; REINFORCEMENT LEARNING METHOD;

REINFORCEMENT LEARNING;

EID: 85144241584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Suguru Arimoto. An algorithm for computing the capacity of arbitrary discrete memoryless channels. IEEE Transactions on Information Theory, 18(1):14-20, 1972.
2. Adrien Baranes and Pierre-Yves Oudeyer. Active learning of inverse models with intrinsically motivated goal exploration in robots. Robotics and Autonomous Systems, 61(1):49-73, 2013.
3. Marc G Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, and Remi Munos. Unifying count-based exploration and intrinsic motivation. arXiv preprint arXiv:1606.01868, 2016.
4. Richard Blahut. Computation of channel capacity and rate-distortion functions. IEEE transactions on Information Theory, 18(4):460-473, 1972.
5. Rein Houthooft, Xi Chen, Yan Duan, John Schulman, Filip De Turck, and Pieter Abbeel. Variational information maximizing exploration. arXiv preprint arXiv:1605.09674, 2016.
6. Alexander S Klyubin, Daniel Polani, and Chrystopher L Nehaniv. Empowerment: A universal agent-centric measure of control. In 2005 IEEE Congress on Evolutionary Computation, volume 1, pp. 128-135. IEEE, 2005.
7. Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529-533, 2015.
8. Shakir Mohamed and Danilo Jimenez Rezende. Variational information maximisation for intrinsically motivated reinforcement learning. In Advances in Neural Information Processing Systems, pp. 2125-2133, 2015.
9. Pierre-Yves Oudeyer and Frederic Kaplan. What is intrinsic motivation? a typology of computational approaches. Frontiers in neurorobotics, 1:6, 2009.
10. Christoph Salge, Cornelius Glackin, and Daniel Polani. Empowerment-an introduction. In Guided Self-Organization: Inception, pp. 67-114. Springer, 2014.
11. Jürgen Schmidhuber. Curious model-building control systems. In Neural Networks, 1991. 1991 IEEE International Joint Conference on, pp. 1458-1463. IEEE, 1991.
12. Jürgen Schmidhuber. Formal theory of creativity, fun, and intrinsic motivation (1990-2010). IEEE Transactions on Autonomous Mental Development, 2(3):230-247, 2010.